Avatar based on trip

Description

TECHNICAL FIELD

The present disclosure relates generally to generating avatars and providing trip information.

BACKGROUND

Social network sites are some of the most popularly, if not the most popularly, visited sites on the Internet. Social networks provide a vast amount of information about users and their friends. Such information includes current status of users and their interests.

BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced. Some embodiments are illustrated by way of example, and not limitation, in the figures of the accompanying drawings in which:

FIG. 1 is a block diagram showing an example messaging system for exchanging data (e.g., messages and associated content) over a network, according to example embodiments.

FIG. 2 is a schematic diagram illustrating data which may be stored in the database of a messaging server system, according to example embodiments.

FIG. 3 is a schematic diagram illustrating a structure of a message generated by a messaging client application for communication, according to example embodiments.

FIG. 4 is a block diagram showing an example trip avatar generation system, according to example embodiments.

FIG. 5 is a flowchart illustrating example operations of the trip avatar generation system, according to example embodiments.

FIGS. 6-8 are illustrative inputs and outputs of the trip avatar generation system, according to example embodiments.

FIG. 9 is a block diagram illustrating a representative software architecture, which may be used in conjunction with various hardware architectures herein described, according to example embodiments.

FIG. 10 is a block diagram illustrating components of a machine able to read instructions from a machine-readable medium (e.g., a machine-readable storage medium) and perform any one or more of the methodologies discussed herein, according to example embodiments.

DETAILED DESCRIPTION

The description that follows includes systems, methods, techniques, instruction sequences, and computing machine program products that embody illustrative embodiments of the disclosure. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide an understanding of various embodiments. It will be evident, however, to those skilled in the art, that embodiments may be practiced without these specific details. In general, well-known instruction instances, protocols, structures, and techniques are not necessarily shown in detail.

Typically, information about the recent activities various users performed is presented in an unorganized generic manner. In order to discern where a given user currently is or where the user has been, the user's friends have to navigate through a vast amount of content and various pages of information. For example, the friends have to navigate through posts made by the user and photos taken by the user to determine what the user is currently doing or where the user has recently been. While such systems work well for presenting such information, the lack of visual appeal or connection to a specific user and the need to manually navigate through multiple pages of information, makes them less attractive and less intuitive to use, which increases their overall complexity.

The disclosed embodiments improve the efficiency of using the electronic device by incorporating one or more avatars into a messaging application to visually represent a recent trip taken by a user. Specifically, according to some embodiments, various features or customizations of the one or more avatars are selected by automatically processing various content and media generated by a user while on a trip to represent the trip taken by the user. According to the disclosed embodiments, a determination is made that one or more criteria associated with a user, such as distance traveled and time spent away from a home location, correspond to a trip taken by the user during a given time interval. A plurality of media generated by a client device of the user during the given time interval is retrieved. A plurality of avatar customizations is automatically selected to represent the trip based on the plurality of media, such as an avatar flying on a plane to the destination of the trip, wearing certain clothing corresponding to the destination, and carrying a suitcase. A trip-based avatar for the user is then automatically generated based on the plurality of customizations.

By presenting to a user's friend or the user themselves with the customized avatar for a given trip recently taken by the user, the user and the user's friends are provided with a simple and intuitive interface for obtaining information about the recent trip the user took. Namely, with minimal user input, recent trip information can be visually ascertained by any given user, such as through the avatar showing someone's clothing, mode of transportation, actions, and facial expressions. This way, users do not need to navigate through a multitude of different pages of information to determine a trip information for a trip recently taken by a given user. This improves the overall efficiencies of the computing device and reduces complexities in using the messaging application.

FIG. 1 is a block diagram showing an example messaging system 100 for exchanging data (e.g., messages and associated content) over a network 106. The messaging system 100 includes multiple client devices 102, each of which hosts a number of applications, including a messaging client application 104. Each messaging client application 104 is communicatively coupled to other instances of the messaging client application 104 and a messaging server system 108 via a network 106 (e.g., the Internet).

Accordingly, each messaging client application 104 is able to communicate and exchange data with another messaging client application 104 and with the messaging server system 108 via the network 106. The data exchanged between messaging client applications 104 and between a messaging client application 104 and the messaging server system 108 includes functions (e.g., commands to invoke functions) as well as payload data (e.g., text, audio, video, or other multimedia data).

In some embodiments, the messaging client applications 104 detects that one or more criteria of a user are indicative of a trip taken by the user. In response, the messaging client applications 104 triggers generation of an avatar to represent the trip. As an example, the messaging client applications 104 determines a home location of the user. This home location may be specified by the user or may be automatically determined based on measuring how long a user spends at the same location for a specified period of time. For example, the messaging client applications 104 determines that the user spends more than 80% of the user's time at the same home location (e.g., within a 25 mile radius of a specific GPS coordinate or address). In response, the messaging client applications 104 sets the specific GPS coordinate or address to be the home location.

The messaging client applications 104 determines that the client device 102 has left the home location. In response, the messaging client applications 104 measures how long the user spends away from the home location. The messaging client applications 104 stores one or more new destination locations corresponding to the location away from the home location. In some cases, the messaging client applications 104 begins storing the one or more destination locations when a distance between the home location and the destination locations exceeds a specified distance threshold (e.g., 60 miles). The messaging client applications 104 determines when the client device 102 has returned to the home location after spending time at the destination locations. In response to determining that the client device 102 has spent more than a specified threshold (e.g., 24 hours) at the home location after returning from the destination locations, the messaging client applications 104 determines that one or more criteria of a user are indicative of a trip taken by the user. In such cases, the messaging client applications 104 triggers generation of a trip avatar to represent the destination locations and the trip taken by the user. While certain functions are discussed as being performed by the messaging client applications 104, any one of these functions can be alternatively performed by a remote server (e.g., messaging server system 108).

In some embodiments, the messaging client applications 104 identifies a set of content or media generated by the user or the client device 102 while at the one or more destination locations. The messaging client applications 104 processes the content to generate a collection of tags that are descriptive of the content. The messaging client applications 104 ranks the collection of tags to identify a set of tags (e.g., 3 tags or less) that have a highest priority. In some cases, the messaging client applications 104 selects one tag from the collection of tags for each of a plurality of categories for inclusion in the set of tags. For example, a first tag in the collection of tags is indicative of a facial expression and is selected for inclusion in the set of tags and a second tag in the collection of tags is indicative of a mode of transportation used to reach the destinations and is selected for inclusion in the set of tags. A set of avatar customizations corresponding to the set of tags is selected and used to customize a trip avatar for presentation to the user or the user's friends. In some cases, the trip avatar is presented on a map background that indicates the one or more destinations.

In some embodiments, the messaging client applications 104 triggers generation of the trip avatar on the basis of one or more conditions being satisfied. For example, the messaging client applications 104 triggers generation of the trip avatar if the messaging client applications 104 determines that the user generated three or more media assets or content while on the trip (e.g., while the user was at the one or more destinations) and that the three or more media assets have geographical tags that are more than 30 miles away from the home location. The messaging client applications 104 may also trigger the generation of the trip avatar in response to determining that the user has returned to the home location more than 24 hours ago. In some cases, the messaging client applications 104 may find multiple trips taken by the user and in such cases, the messaging client applications 104 selects the trip for customizing the trip avatar that was taken less than 6 months ago.

In some cases, the messaging client applications 104 adds a title to a tile that includes the trip avatar. The title is automatically generated based on one or more criteria. For example, a first type of title is selected if the client device 102 returned to the home location from the one or more destinations less than two weeks ago. As another example, a second type of title is selected if the client device 102 visited multiple destinations while on the trip, where each destination is more than a threshold distance (e.g., 30 miles) from another destination and more than another threshold distance (e.g., 60 miles) from the home location. The second type of title may further be conditioned for selection on the basis of determining that more than three media assets were generated at each of the multiple destinations. In some cases, the tile that includes the trip avatar may automatically play thumbnail versions of the media assets captured by the client device 102 while visiting the one or more destinations. For example, a two second clip is generated for each video captured by the client device 102. The two second clips are automatically and sequentially displayed along with any photos that were captured while visiting the one or more destinations. A one second pause is added while presenting the photos and transitioning to another photo or video in the sequence. The media assets in the sequence transition from one to the next with a specific animation (e.g., a cross-fade animation). The sequence loops back to the beginning when the end of the sequence and the last photo or video clip is presented.

Avatar customizations for the trip avatar include avatar closing, mode of transportation, friend avatars, setting or background, text, facial expressions, or activities. As an example, the messaging client applications 104 selects a first avatar customization based on a duration of the trip (e.g., based on how long the client device 102 spent away from the home location). Specifically, if the client device 102 spent less than a week away from the home location, the messaging client applications 104 randomly selects between a plurality of avatar customizations of a first type. The first type of the plurality of avatar customizations may include an avatar wearing a briefcase or not carrying any suitcase. If the client device 102 spent more than a week away from the home location, the messaging client applications 104 randomly selects between a plurality of avatar customizations of a second type. The second type of the plurality of avatar customizations may include an avatar wearing a suitcase (a carrying case larger than the briefcase) and having a first pose (dragging the suitcase) or the avatar wearing a suitcase and having a second pose (leaning up against the suitcase).

As another example, the messaging client applications 104 selects a second avatar customization based on a distance of the trip (e.g., based on how far the client device 102 traveled away from the home location). Specifically, if the client device 102 traveled more than 400 miles away from the home location, the messaging client applications 104 randomly selects between a plurality of avatar customizations of a third type. The third type of the plurality of avatar customizations may include an avatar flying in a plane or using a first mode of transportation (plane or boat). If the client device 102 traveled less than 200 miles away from the home location, the messaging client applications 104 randomly selects between a plurality of avatar customizations of a fourth type. The fourth type of the plurality of avatar customizations may include an avatar in a car or using a second mode of transportation (car, train or bus).

The messaging client applications 104 combines the selected avatar customizations (e.g., the first avatar customization and the second avatar customization) to generate the travel avatar. For example, the messaging client applications 104 generates a travel avatar that depicts an avatar driving in a car and carrying a briefcase in the trunk in response to determining that the client device 102 traveled less than 200 miles away from the home location and that the client device 102 spent less than a week away from the home location. In some cases, the messaging client applications 104 determines that the user traveled to the one or more destinations with a friend. In such cases, the messaging client applications 104 generates a second travel avatar for the friend and includes the second travel avatar in the tile that presents the travel avatar for the user. Namely, the tile includes two travel avatars to indicate that the user traveled to the destinations with the friend and to represent the activities the friends performed while on the trip. In some cases, the messaging client applications 104 compares the weather at the one or more destinations with typical weather at the home location. If the weather differs between the travel destinations and the home location, the messaging client applications 104 customizes an article of clothing of the travel avatar to represent the weather at the travel destinations. For example, if the user lives in a tropical climate and has traveled to Canada, the messaging client applications 104 may add a parka or coat to the travel avatar to represent the colder weather at the travel destination.

The messaging server system 108 provides server-side functionality via the network 106 to a particular messaging client application 104. While certain functions of the messaging system 100 are described herein as being performed by either a messaging client application 104 or by the messaging server system 108, it will be appreciated that the location of certain functionality either within the messaging client application 104 or the messaging server system 108 is a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within the messaging server system 108, but to later migrate this technology and functionality to the messaging client application 104 where a client device 102 has a sufficient processing capacity.

The messaging server system 108 supports various services and operations that are provided to the messaging client application 104. Such operations include transmitting data to, receiving data from, and processing data generated by the messaging client application 104. This data may include message content, client device information, geolocation information, media annotation and overlays, virtual objects, message content persistence conditions, social network information, and live event information, as examples. Data exchanges within the messaging system 100 are invoked and controlled through functions available via user interfaces (UIs) of the messaging client application 104.

Turning now specifically to the messaging server system 108, an Application Program Interface (API) server 110 is coupled to, and provides a programmatic interface to, an application server 112. The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with messages processed by the application server 112.

Dealing specifically with the API server 110, this server 110 receives and transmits message data (e.g., commands and message payloads) between the client device 102 and the application server 112. Specifically, the API server 110 provides a set of interfaces (e.g., routines and protocols) that can be called or queried by the messaging client application 104 in order to invoke functionality of the application server 112. The API server 110 exposes various functions supported by the application server 112, including account registration; login functionality; the sending of messages, via the application server 112, from a particular messaging client application 104 to another messaging client application 104; the sending of media files (e.g., images or video) from a messaging client application 104 to the messaging server application 114, and for possible access by another messaging client application 104; the setting of a collection of media data (e.g., story); the retrieval of such collections; the retrieval of a list of friends of a user of a client device 102; the retrieval of messages and content; the adding and deleting of friends to a social graph; the location of friends within a social graph; access to user conversation data; access to avatar information stored on messaging server system 108; and opening an application event (e.g., relating to the messaging client application 104).

The application server 112 hosts a number of applications and subsystems, including a messaging server application 114, an image processing system 116, a social network system 122, and the trip avatar generation system 124. The messaging server application 114 implements a number of message processing technologies and functions, particularly related to the aggregation and other processing of content (e.g., textual and multimedia content) included in messages received from multiple instances of the messaging client application 104. As will be described in further detail, the text and media content from multiple sources may be aggregated into collections of content (e.g., called stories or galleries). These collections are then made available, by the messaging server application 114, to the messaging client application 104. Other processor- and memory-intensive processing of data may also be performed server-side by the messaging server application 114, in view of the hardware requirements for such processing.

The application server 112 also includes an image processing system 116 that is dedicated to performing various image processing operations, typically with respect to images or video received within the payload of a message at the messaging server application 114. A portion of the image processing system 116 may also be implemented by the trip avatar generation system 124.

The social network system 122 supports various social networking functions and services and makes these functions and services available to the messaging server application 114. To this end, the social network system 122 maintains and accesses an entity graph within the database 120. Examples of functions and services supported by the social network system 122 include the identification of other users of the messaging system 100 with which a particular user has relationships or is “following” and also the identification of other entities and interests of a particular user. Such other users may be referred to as the user's friends. Social network system 122 may access location information associated with each of the user's friends to determine where they live or are currently located geographically. Social network system 122 may maintain a location profile for each of the user's friends indicating the geographical location where the user's friends live.

The application server 112 is communicatively coupled to a database server 118, which facilitates access to a database 120 in which is stored data associated with messages processed by the messaging server application 114.

FIG. 2 is a schematic diagram 200 illustrating data, which may be stored in the database 120 of the messaging server system 108, according to certain example embodiments. While the content of the database 120 is shown to comprise a number of tables, it will be appreciated that the data could be stored in other types of data structures (e.g., as an object-oriented database).

The database 120 includes message data stored within a message table 214. An entity table 202 stores entity data, including an entity graph 204. Entities for which records are maintained within the entity table 202 may include individuals, corporate entities, organizations, objects, places, events, and so forth. Regardless of type, any entity regarding which the messaging server system 108 stores data may be a recognized entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown).

The entity graph 204 furthermore stores information regarding relationships and associations between entities. Such relationships may be social, professional (e.g., work at a common corporation or organization), interest-based, or activity-based, merely for example.

Message table 214 may store a collection of conversations between a user and one or more friends or entities. Message table 214 may include various attributes of each conversation, such as the list of participants, the size of the conversation (e.g., number of users and/or number of messages), the chat color of the conversation, a unique identifier for the conversation, and any other conversation related feature(s).

The database 120 also stores annotation data, in the example form of filters, in an annotation table 212. Database 120 also stores annotated content received in the annotation table 212. Filters for which data is stored within the annotation table 212 are associated with and applied to videos (for which data is stored in a video table 210) and/or images (for which data is stored in an image table 208). Filters, in one example, are overlays that are displayed as overlaid on an image or video during presentation to a recipient user. Filters may be of various types, including user-selected filters from a gallery of filters presented to a sending user by the messaging client application 104 when the sending user is composing a message. Other types of filters include geolocation filters (also known as geo-filters), which may be presented to a sending user based on geographic location. For example, geolocation filters specific to a neighborhood or special location may be presented within a UI by the messaging client application 104, based on geolocation information determined by a Global Positioning System (GPS) unit of the client device 102. Another type of filter is a data filter, which may be selectively presented to a sending user by the messaging client application 104, based on other inputs or information gathered by the client device 102 during the message creation process. Examples of data filters include current temperature at a specific location, a current speed at which a sending user is traveling, battery life for a client device 102, or the current time.

Other annotation data that may be stored within the image table 208 is so-called “LENS” data. A “LENS” may be a real-time special effect and sound that may be added to an image or a video.

As mentioned above, the video table 210 stores video data which, in one embodiment, is associated with messages for which records are maintained within the message table 214. Similarly, the image table 208 stores image data associated with messages for which message data is stored in the entity table 202. The entity table 202 may associate various annotations from the annotation table 212 with various images and videos stored in the image table 208 and the video table 210.

Trip avatar customization(s) 207 stores avatar attributes, customizations or parameters the trip avatar generation system 124 uses to generate avatars representing different trip parameters. For example, trip avatar customization(s) 207 associates a first plurality of trip avatar customizations for a first trip criterion (e.g., if the trip was of a first duration less than a threshold) and a second plurality of trip avatar customizations for a second trip criterion (e.g., if the trip was of a second duration greater than the threshold). The trip avatar customizations may include facial expressions, animation characteristics, avatar accessories (e.g., umbrella), avatar clothing, mode of transportation, setting, activities, background and avatar poses. The trip avatar customization(s) 207 may be stored as generic instructions that are used to modify a specific avatar to depict the given set of avatar customizations. For example, a first avatar that includes features specific to a first user (e.g., hair style and skin color) may be adjusted based on a first set of trip avatar customization(s) 207 to depict a certain pose and have a certain set of clothing associated with the first set of trip avatar customization(s) 207. A second avatar that includes features specific to a second user may be adjusted based on the same first set of trip avatar customization(s) 207 to depict the same certain pose and have the same certain set of clothing associated with the first set of avatar trip avatar customization(s) 207 as the first avatar while maintaining the features that are unique to the second user.

Each avatar customization in the trip avatar customization(s) 207 may be associated with one or more tags. As the trip avatar generation system 124 generates or retrieves tags for different media generated by the client device 102 while on the trip, the trip avatar generation system 124 can select the specific avatar customization that is associated with the generated or retrieved tag. In some cases, multiple avatar customizations may be associated with the same tag. In such cases, the trip avatar generation system 124 selects randomly one of the multiple avatar customizations that are associated with the same tag. In some cases, a given avatar customization tag may be associated with a rarity factor indicating how rare the specific tag is to be encountered. For example, a spaceship may be associated with a maximum rarity factor because flying on a spaceship is an extremely rare activity while eating may be associated with the lowest rarity factor because eating is a commonly done activity. Using the rarity factor computed for the media captured or generated by the client device 102 while on the trip, the trip avatar generation system 124 selects a given trip avatar customization 207 that is associated with the highest rarity factor for use in modifying the trip avatar.

A story table 206 stores data regarding collections of messages and associated image, video, or audio data, which are compiled into a collection (e.g., a story or a gallery). The creation of a particular collection may be initiated by a particular user (e.g., each user for which a record is maintained in the entity table 202). A user may create a “personal story” in the form of a collection of content that has been created and sent/broadcast by that user. To this end, the UI of the messaging client application 104 may include an icon that is user-selectable to enable a sending user to add specific content to his or her personal story.

A collection may also constitute a “live story,” which is a collection of content from multiple users that is created manually, automatically, or using a combination of manual and automatic techniques. For example, a “live story” may constitute a curated stream of user-submitted content from various locations and events. Users whose client devices have location services enabled and are at a common location event at a particular time may, for example, be presented with an option, via a UI of the messaging client application 104, to contribute content to a particular live story. The live story may be identified to the user by the messaging client application 104 based on his or her location. The end result is a “live story” told from a community perspective.

A further type of content collection is known as a “location story,” which enables a user whose client device 102 is located within a specific geographic location (e.g., on a college or university campus) to contribute to a particular collection. In some embodiments, a contribution to a location story may require a second degree of authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on the university campus).

FIG. 3 is a schematic diagram illustrating a structure of a message 300, according to some embodiments, generated by a messaging client application 104 for communication to a further messaging client application 104 or the messaging server application 114. The content of a particular message 300 is used to populate the message table 214 stored within the database 120, accessible by the messaging server application 114. Similarly, the content of a message 300 is stored in memory as “in-transit” or “in-flight” data of the client device 102 or the application server 112. The message 300 is shown to include the following components:

- A message identifier 302: a unique identifier that identifies the message 300.
- A message text payload 304: text, to be generated by a user via a UI of the client device 102 and that is included in the message 300.
- A message image payload 306: image data, captured by a camera component of a client device 102 or retrieved from memory of a client device 102, and that is included in the message 300.
- A message video payload 308: video data, captured by a camera component or retrieved from a memory component of the client device 102 and that is included in the message 300.
- A message audio payload 310: audio data, captured by a microphone or retrieved from the memory component of the client device 102, and that is included in the message 300.
- Message annotations 312: annotation data (e.g., filters, stickers, or other enhancements) that represents annotations to be applied to message image payload 306, message video payload 308, or message audio payload 310 of the message 300.
- A message duration parameter 314: parameter value indicating, in seconds, the amount of time for which content of the message (e.g., the message image payload 306, message video payload 308, message audio payload 310) is to be presented or made accessible to a user via the messaging client application 104.
- A message geolocation parameter 316: geolocation data (e.g., latitudinal and longitudinal coordinates) associated with the content payload of the message. Multiple message geolocation parameter 316 values may be included in the payload, with each of these parameter values being associated with respect to content items included in the content (e.g., a specific image within the message image payload 306, or a specific video in the message video payload 308).
- A message story identifier 318: identifier value identifying one or more content collections (e.g., “stories”) with which a particular content item in the message image payload 306 of the message 300 is associated. For example, multiple images within the message image payload 306 may each be associated with multiple content collections using identifier values.
- A message tag 320: each message 300 may be tagged with multiple tags, each of which is indicative of the subject matter of content included in the message payload. For example, where a particular image included in the message image payload 306 depicts an animal (e.g., a lion), a tag value may be included within the message tag 320 that is indicative of the relevant animal. Tag values may be generated manually, based on user input, or may be automatically generated using, for example, image recognition.
- A message sender identifier 322: an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of a user of the client device 102 on which the message 300 was generated and from which the message 300 was sent.
- A message receiver identifier 324: an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of user(s) of the client device 102 to which the message 300 is addressed. In the case of a conversation between multiple users, the identifier may indicate each user involved in the conversation.

The contents (e.g., values) of the various components of message 300 may be pointers to locations in tables within which content data values are stored. For example, an image value in the message image payload 306 may be a pointer to (or address of) a location within an image table 208. Similarly, values within the message video payload 308 may point to data stored within a video table 210, values stored within the message annotations 312 may point to data stored in an annotation table 212, values stored within the message story identifier 318 may point to data stored in a story table 206, and values stored within the message sender identifier 322 and the message receiver identifier 324 may point to user records stored within an entity table 202.

FIG. 4 is a block diagram showing an example trip avatar generation system 124, according to example embodiments. Trip avatar generation system 124 includes a trip detection module 414, a user(s) location module 419, an avatar customization selection module 416, and an avatar display module 420.

User(s) location module 419 accesses a GPS system of the client device 102 for a given user to determine the geographical location of the client device 102. The user location module 419 identifies a home location of the client device 102 by identifying a geographical location that the client device 102 is in for a majority of the time (e.g., more than 80% of the time). In some cases, the user location module 419 receives user input that specifies the home location by providing the address or GPS location of the home address. The user location module 419 generates a radius (e.g., 25 miles) around the home location. The user location module 419 determines when the client device 102 leaves the radius of the home location and in response marks the new locations as a potential travel destination. The user location module 419 measures how long the client device 102 spends away from the home location at one or more potential travel destinations. The user location module 419 stores the destination locations of each potential travel destination along with the time stamps when the potential travel destinations were visited by the client device 102.

Trip detection module 414 processes the data from the user location module 419 to determine when a given trip a user has taken began and ended. For example, the trip detection module 414 determines a starting time of when the client device 102 left the home location and an ending time of when the client device 102 returned to the home location. If the difference between the starting time and the ending time exceeds a threshold (e.g., more than 2 days), the trip detection module 414 determines that the client device 102 was on a trip between the starting time and the ending time. The trip detection module 414 determines whether the client device has stayed at the home location for more than a threshold period of time (e.g., more than 24 hours) after returning to the home location. In response, the trip detection module 414 may trigger generation of a trip avatar to represent the trip taken by the user between the starting time and the ending time.

The trip detection module 414 determines one or more parameters of the trip. For example, the trip detection module 414 determines weather at the destinations visited away from the home location. The trip detection module 414 determines if the weather at the destinations differs from the weather at the home location. If so, the trip detection module 414 instructs the avatar customization selection module 416 to select an avatar customization to represent the weather at the destinations.

The trip detection module 414 determines a distance between the home location and the travel destinations. For example, the trip detection module 414 determines whether the distance between the home location and the travel destinations exceeds a specified threshold (e.g., 400 miles). If so, the trip detection module 414 instructs the avatar customization selection module 416 to select an avatar customization to represent a first mode of transportation (e.g., a plane). Otherwise, if the distance is less than the specified threshold but more than another threshold (e.g., 60 miles), the trip detection module 414 instructs the avatar customization selection module 416 to select an avatar customization to represent a second mode of transportation (a car).

The trip detection module 414 determines how long the client device 102 was on the trip based on a difference between the start and end time of the trip. For example, the trip detection module 414 determines whether the duration of the trip exceeds a threshold (e.g., 2 weeks). If so, the trip detection module 414 instructs the avatar customization selection module 416 to select an avatar customization to represent a first type of carrying case (e.g., a suitcase). Otherwise, if the trip duration is less than the threshold, the trip detection module 414 instructs the avatar customization selection module 416 to select an avatar customization to represent a second type of carrying case (e.g., a briefcase).

In some embodiments, the trip detection module 414 retrieves media (e.g., posts to a social network, messages exchanged between users, videos, and images) generated by the client device 102 while the client device 102 was away from the home location and on the trip. For example, the trip detection module 414 retrieves a collection of media generated by the client device 102 between the start time and end time of the trip. The trip detection module 414 processes the media to generate a plurality of tags (e.g., metadata that is descriptive of each media asset). The trip detection module 414 ranks the plurality of tags based on one or more criteria (e.g., frequency of occurrence, rarity factor, user preferences, importance, and so forth). The trip detection module 414 selects a subset of the ranked plurality of tags (e.g., selects tags associated with a rank that exceeds a threshold). The trip detection module 414 provides the selected subset of ranked tags to the avatar customization selection module 416. The avatar customization selection module 416 selects a combination of avatar customizations that correspond to the selected subset of ranked tags. In some cases, the trip detection module 414 determines that one of the tags associated with the media corresponds to a rare event or activity (e.g., has a rarity factor that exceeds a threshold). In such circumstances, the trip detection module 414 associates a highest rank to this tag to ensure that the tag is used to select an avatar customization. For example, if the trip detection module 414 determines that the client device 102 generated content that is associated with space travel, the trip detection module 414 generates a space travel activity tag indicative of space travel and associates a maximum rank to this tag as space travel is associated with a very high rarity factor that exceeds a threshold. In this case, the avatar customization selection module 416 generates an avatar that appears to be on a spaceship to represent the space travel activity tag.

The trip detection module 414 selects and ranks tags on the basis of how many media assets are associated with the same tag. Certain tags are selected for inclusion in the subset that is used to customize the avatar if a certain quantity of media assets is generated and is associated with the same tag. If less than a threshold quantity of media assets is associated with the same tag, the particular tag is not included in the subset that is used to select an avatar customization. For example, the trip detection module 414 determines a first number of the plurality of media associated with a same first tag of the plurality of tags and determines a second number of the plurality of media associated with a same second tag of the plurality of tags. The trip detection module 414 selects a first customization of the plurality of avatar customizations associated with the same first tag in response to determining that the first number exceeds a first minimum threshold value. The trip detection module 414 selects a second customization of the plurality of avatar customizations associated with the same second tag in response to determining that the second number exceeds a second minimum threshold value. The second minimum threshold value may be greater than the first minimum threshold value.

As an example, the trip detection module 414 may identify 15 different pictures of food that were taken while the client device 102 was on the trip and 3 pictures of a sail boat. The trip detection module 414 may determine that a food tag is associated with the pictures of food and that a rare activity tag is associated with the sail boat. The trip detection module 414 may further determine that the food tag is associated with a minimum quantity of 35 and that the rare activity tag is associated with a minimum quantity of 2. In this case, the trip detection module 414 may cause the avatar customization selection module 416 to select a customization that represents the sail boat activity because the 3 pictures taken of the sail boat exceeds the minimum quantity of 2. The trip detection module 414 may prevent the avatar customization selection module 416 from selecting a customization that represents food because the 15 pictures of food does not exceed the minimum quantity of 35. The minimum quantities may be adjusted based on user preferences. So if a given user never takes pictures of food but often rides sail boats, the minimum quantity of the food tag may be decreased to 3 and the minimum quantity of the rare activity tag may be increased to 10. In this way, the trip detection module 414 instructs the avatar customization selection module 416 to select avatar customizations that represent the most important and memorable events that the user encountered while on the trip.

The trip detection module 414 determines whether one or more other users were together with the user on the trip. For example, the trip detection module 414 accesses location information for friends of the user. The trip detection module 414 determines whether the location information for the friends overlaps in time and place with the destination locations that the client device 102 was in between the start and end time of the trip. If so, the trip detection module 414 determines that the friends were on the same trip with the user. In some cases, the trip detection module 414 generates a notification or prompt requesting the user to confirm that the friends were on the same trip. In response to determining that the friends were on the same trip, the trip detection module 414 generates a travel avatar for the friends and includes the travel avatar for the friends in the same display as the travel avatar for the user.

The trip detection module 414 determines various activities the user performed while on the trip based on the tags associated with the media generated by the client device 102 while on the trip. The trip detection module 414 ranks the activities and selects the tag associated with the highest ranked activity for selection of an avatar customization.

Avatar display module 420 retrieves an avatar for the user associated with the client device 102. The avatar display module 420 adjusts the avatar for the user based on a combination of avatar customization received from the avatar customization selection module 416. The avatar display module 420 retrieves a map corresponding to the travel destinations of the client device 102. The avatar display module 420 adds the travel avatar with the modified customizations to the map to create an interactive tile that represents the trip. The tile may be presented to the user of the client device 102 or to friends of the user. The tile may be selected to access a set of media captured by the client device 102 while on the trip and to share the media with one or more other users. In some cases, the tile includes multiple avatars if more than one user was on the same trip. Namely, the avatar display module 420 may include a first travel avatar for the user of the client device 102 and a second travel avatar for a friend of the user that was on the same trip as the user.

FIG. 5 is a flowchart illustrating example operations of the trip avatar generation system 124 in performing process 500, according to example embodiments. The process 500 may be embodied in computer-readable instructions for execution by one or more processors such that the operations of the process 500 may be performed in part or in whole by the functional components of the messaging server system 108; accordingly, the process 500 is described below by way of example with reference thereto. However, in other embodiments, at least some of the operations of the process 500 may be deployed on various other hardware configurations. The process 500 is therefore not intended to be limited to the messaging server system 108 and can be implemented in whole, or in part, by any other component. Some or all of the operations of process 500 can be in parallel, out of order, or entirely omitted.

At operation 502, the trip avatar generation system 124 determines that one or more criteria associated with a user correspond to a trip taken by the user during a given time interval. For example, the trip avatar generation system 124 compares a distance traveled by a client device away from a home location and time spent away from the home location to a threshold. If the distance traveled exceeds the threshold and the time spent exceeds a time threshold, the trip avatar generation system 124 determines that one or more criteria associated with the user correspond to a trip taken by the user.

At operation 503, the trip avatar generation system 124 retrieves a plurality of media generated by a client device of the user during the given time interval. For example, the trip avatar generation system 124 obtains videos, comments, images, and so forth generated by the user using the client device 102 during the time interval corresponding to the trip. The trip avatar generation system 124 selects the media by analyzing time stamps of the media assets and verifying that the time stamps are within the trip time interval.

At operation 504, the trip avatar generation system 124 automatically selects a plurality of avatar customizations to represent the trip based on the plurality of media generated by the user during the given time interval. For example, the trip avatar generation system 124 selects a briefcase rather than a suitcase if the trip lasted a first amount of time that exceeds a threshold. The trip avatar generation system 124 also selects an airplane rather than a car as the avatar customization if the client device 102 traveled over a certain threshold distance from a home location.

At operation 505, the trip avatar generation system 124 automatically generates a trip-based avatar for the user based on the plurality of avatar customizations. For example, as shown in FIG. 6, trip avatar generation system 124 presents a tile that includes a map representing a destination of a trip previously taken by a user and a travel avatar 610.

In some embodiments, the trip avatar generation system 124 generates an avatar that collectively represents media captured by a client device 102. Specifically, the trip avatar generation system 124 selects a group of media assets (e.g., media assets captured by a given client device 102 at a particular location, within a particular time interval, or shared with particular users). The trip avatar generation system 124 then selects a plurality of avatar customizations to the group of media assets and automatically generates an avatar for the user based on the plurality of avatar customizations. In this example, rather than the avatar being specific to a trip taken by a user, the avatar represents an event associated with the user by modifying a plurality of customizations of the avatar, each customization associated with a different attribute determined from the group of media assets.

FIGS. 6-8 show illustrative inputs and outputs of the trip avatar generation system 124, according to example embodiments. As shown in FIG. 6, trip avatar generation system 124 presents a tile that includes a map representing a destination of a trip previously taken by a user and a travel avatar 610. The tile may be generated and presented by the trip avatar generation system 124 in response to determining that the trip was taken more than 24 hours ago. For example, the tile may be generated in response to determining that the client device 102 returned to the home location and remained at the home location for more than 24 hours after visiting the travel destinations.

The trip avatar generation system 124 customizes the travel avatar 610 with a combination of avatar customizations. For example, the trip avatar generation system 124 presents a facial expression of the travel avatar 610 as being happy because the trip avatar generation system 124 determines that the user was excited most of the time while on the trip based on the media captured by the client device 102 while on the trip. For example, the trip avatar generation system 124 may isolate and analyze facial expressions in the media captured by the client device 102 and map each facial expression to a corresponding mood. The trip avatar generation system 124 identifies a majority of the moods that are mapped to the facial expressions as being happy and in response determines that the user was excited most of the time while on the trip. In some cases, the trip avatar generation system 124 computes an average happiness score for each of the media captured by the client device 102 and if the average happiness score of all the media captured by the client device 102 while on the trip exceeds a given threshold or if a proportion of media with a happiness score exceeds a threshold, then the trip avatar generation system 124 determines that the user was excited for most of the time during the trip.

The trip avatar generation system 124 presents a carrying case 630 that is a briefcase as another avatar customization because the trip avatar generation system 124 determines that the trip lasted less than two weeks. For example, the trip avatar generation system 124 selects between two different types of carrying case avatars, shown in FIG. 7. A first type of carrying case avatars 710 corresponds to trips that last less than a threshold period of time. The first type of carrying case avatars 710 includes a first avatar carrying a briefcase and a second avatar not carrying any carrying case. The trip avatar generation system 124 selects randomly between the first and second avatars of the first type of carrying case avatars 710 in response to determining that the trip lasted less than the threshold period of time. A second type of carrying case avatars 720 corresponds to trips that last more than the threshold period of time. The second type of carrying case avatars 720 includes a first avatar carrying a suitcase (larger than the briefcase) and in a first pose (walking) and a second avatar carrying the suitcase and in a second pose (leaning against the suitcase). The trip avatar generation system 124 selects randomly between the first and second avatars of the second type of carrying case avatars 720 in response to determining that the trip lasted more than the threshold period of time.

The trip avatar generation system 124 presents the avatar using a car 620 as a mode of transportation in response to determining that the distance between the destinations and the home location exceeds a first threshold (e.g., 60 miles) but is less than a second threshold (e.g., 400 miles). For example, the trip avatar generation system 124 selects between two different types of mode of transportations, shown in FIG. 8. A first type of mode of transportation avatars 810 corresponds to trips that are more than a threshold distance away from the home location. The first type of mode of transportation avatars 810 includes a first avatar flying a plane of a first type and a second avatar flying a plane of a second type. The trip avatar generation system 124 selects randomly between the first and second avatars of the first type of mode of transportation avatars 810 in response to determining that the trip was more than a threshold distance away from the home location. A second type of mode of transportation avatars 820 corresponds to trips that are less than the threshold distance to the home location. The second type of mode of transportation avatars 820 includes a first avatar driving a car of a first type and a second avatar driving a car of a second type (or in a train or bus). The trip avatar generation system 124 selects randomly between the first and second avatars of the second type of mode of transportation avatars 820 in response to determining that the trip was less than the threshold distance away from the home location.

FIG. 9 is a block diagram illustrating an example software architecture 906, which may be used in conjunction with various hardware architectures herein described. FIG. 9 is a non-limiting example of a software architecture and it will be appreciated that many other architectures may be implemented to facilitate the functionality described herein. The software architecture 906 may execute on hardware such as machine 1000 of FIG. 10 that includes, among other things, processors 1004, memory 1014, and input/output (I/O) components 1018. A representative hardware layer 952 is illustrated and can represent, for example, the machine 1000 of FIG. 10. The representative hardware layer 952 includes a processing unit 954 having associated executable instructions 904. Executable instructions 904 represent the executable instructions of the software architecture 906, including implementation of the methods, components, and so forth described herein. The hardware layer 952 also includes memory and/or storage modules memory/storage 956, which also have executable instructions 904. The hardware layer 952 may also comprise other hardware 958.

In the example architecture of FIG. 9, the software architecture 906 may be conceptualized as a stack of layers where each layer provides particular functionality. For example, the software architecture 906 may include layers such as an operating system 902, libraries 920, frameworks/middleware 918, applications 916, and a presentation layer 914. Operationally, the applications 916 and/or other components within the layers may invoke API calls 908 through the software stack and receive messages 912 in response to the API calls 908. The layers illustrated are representative in nature and not all software architectures have all layers. For example, some mobile or special purpose operating systems may not provide a frameworks/middleware 918, while others may provide such a layer. Other software architectures may include additional or different layers.

The operating system 902 may manage hardware resources and provide common services. The operating system 902 may include, for example, a kernel 922, services 924, and drivers 926. The kernel 922 may act as an abstraction layer between the hardware and the other software layers. For example, the kernel 922 may be responsible for memory management, processor management (e.g., scheduling), component management, networking, security settings, and so on. The services 924 may provide other common services for the other software layers. The drivers 926 are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers 926 include display drivers, camera drivers, Bluetooth® drivers, flash memory drivers, serial communication drivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi® drivers, audio drivers, power management drivers, and so forth depending on the hardware configuration.

The libraries 920 provide a common infrastructure that is used by the applications 916 and/or other components and/or layers. The libraries 920 provide functionality that allows other software components to perform tasks in an easier fashion than to interface directly with the underlying operating system 902 functionality (e.g., kernel 922, services 924 and/or drivers 926). The libraries 920 may include system libraries 944 (e.g., C standard library) that may provide functions such as memory allocation functions, string manipulation functions, mathematical functions, and the like. In addition, the libraries 920 may include API libraries 946 such as media libraries (e.g., libraries to support presentation and manipulation of various media format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphics libraries (e.g., an OpenGL framework that may be used to render two-dimensional and three-dimensional in a graphic content on a display), database libraries (e.g., SQLite that may provide various relational database functions), web libraries (e.g., WebKit that may provide web browsing functionality), and the like. The libraries 920 may also include a wide variety of other libraries 948 to provide many other APIs to the applications 916 and other software components/modules.

The frameworks/middleware 918 (also sometimes referred to as middleware) provide a higher-level common infrastructure that may be used by the applications 916 and/or other software components/modules. For example, the frameworks/middleware 918 may provide various graphic UI (GUI) functions, high-level resource management, high-level location services, and so forth. The frameworks/middleware 918 may provide a broad spectrum of other APIs that may be utilized by the applications 916 and/or other software components/modules, some of which may be specific to a particular operating system 902 or platform.

The applications 916 include built-in applications 938 and/or third-party applications 940. Examples of representative built-in applications 938 may include, but are not limited to, a contacts application, a browser application, a book reader application, a location application, a media application, a messaging application, and/or a game application. Third-party applications 940 may include an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform, and may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or other mobile operating systems. The third-party applications 940 may invoke the API calls 908 provided by the mobile operating system (such as operating system 902) to facilitate functionality described herein.

The applications 916 may use built-in operating system functions (e.g., kernel 922, services 924, and/or drivers 926), libraries 920, and frameworks/middleware 918 to create UIs to interact with users of the system. Alternatively, or additionally, in some systems, interactions with a user may occur through a presentation layer, such as presentation layer 914. In these systems, the application/component “logic” can be separated from the aspects of the application/component that interact with a user.

FIG. 10 is a block diagram illustrating components of a machine 1000, according to some example embodiments, able to read instructions from a machine-readable medium (e.g., a machine-readable storage medium) and perform any one or more of the methodologies discussed herein. Specifically, FIG. 10 shows a diagrammatic representation of the machine 1000 in the example form of a computer system, within which instructions 1010 (e.g., software, a program, an application, an applet, an app, or other executable code) for causing the machine 1000 to perform any one or more of the methodologies discussed herein may be executed. As such, the instructions 1010 may be used to implement modules or components described herein. The instructions 1010 transform the general, non-programmed machine 1000 into a particular machine 1000 programmed to carry out the described and illustrated functions in the manner described. In alternative embodiments, the machine 1000 operates as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine 1000 may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine 1000 may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular telephone, a smart phone, a mobile device, a wearable device (e.g., a smart watch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing the instructions 1010, sequentially or otherwise, that specify actions to be taken by machine 1000. Further, while only a single machine 1000 is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute the instructions 1010 to perform any one or more of the methodologies discussed herein.

The machine 1000 may include processors 1004, memory/storage 1006, and I/O components 1018, which may be configured to communicate with each other such as via a bus 1002. In an example embodiment, the processors 1004 (e.g., a central processing unit (CPU), a reduced instruction set computing (RISC) processor, a complex instruction set computing (CISC) processor, a graphics processing unit (GPU), a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a radio-frequency integrated circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, a processor 1008 and a processor 1012 that may execute the instructions 1010. The term “processor” is intended to include multi-core processors 1004 that may comprise two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously. Although FIG. 10 shows multiple processors 1004, the machine 1000 may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiple cores, or any combination thereof.

The memory/storage 1006 may include a memory 1014, such as a main memory, or other memory storage, and a storage unit 1016, both accessible to the processors 1004 such as via the bus 1002. The storage unit 1016 and memory 1014 store the instructions 1010 embodying any one or more of the methodologies or functions described herein. The instructions 1010 may also reside, completely or partially, within the memory 1014, within the storage unit 1016, within at least one of the processors 1004 (e.g., within the processor's cache memory), or any suitable combination thereof, during execution thereof by the machine 1000. Accordingly, the memory 1014, the storage unit 1016, and the memory of processors 1004 are examples of machine-readable media.

The I/O components 1018 may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components 1018 that are included in a particular machine 1000 will depend on the type of machine. For example, portable machines such as mobile phones will likely include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that the I/O components 1018 may include many other components that are not shown in FIG. 10. The I/O components 1018 are grouped according to functionality merely for simplifying the following discussion and the grouping is in no way limiting. In various example embodiments, the I/O components 1018 may include output components 1026 and input components 1028. The output components 1026 may include visual components (e.g., a display such as a plasma display panel (PDP), a light emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. The input components 1028 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point-based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or other pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location and/or force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like.

In further example embodiments, the I/O components 1018 may include biometric components 1039, motion components 1034, environmental components 1036, or position components 1038 among a wide array of other components. For example, the biometric components 1039 may include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram based identification), and the like. The motion components 1034 may include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope), and so forth. The environmental components 1036 may include, for example, illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometer that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment. The position components 1038 may include location sensor components (e.g., a GPS receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies. The I/O components 1018 may include communication components 1040 operable to couple the machine 1000 to a network 1037 or devices 1029 via coupling 1024 and coupling 1022, respectively. For example, the communication components 1040 may include a network interface component or other suitable device to interface with the network 1037. In further examples, communication components 1040 may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components to provide communication via other modalities. The devices 1029 may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a USB).

Moreover, the communication components 1040 may detect identifiers or include components operable to detect identifiers. For example, the communication components 1040 may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components 1040, such as location via Internet Protocol (IP) geo-location, location via Wi-Fi® signal triangulation, location via detecting a NFC beacon signal that may indicate a particular location, and so forth.

GLOSSARY

“CARRIER SIGNAL” in this context refers to any intangible medium that is capable of storing, encoding, or carrying transitory or non-transitory instructions for execution by the machine, and includes digital or analog communications signals or other intangible medium to facilitate communication of such instructions. Instructions may be transmitted or received over the network using a transitory or non-transitory transmission medium via a network interface device and using any one of a number of well-known transfer protocols.

“CLIENT DEVICE” in this context refers to any machine that interfaces to a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, PDAs, smart phones, tablets, ultra books, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network.

“COMMUNICATIONS NETWORK” in this context refers to one or more portions of a network that may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard setting organizations, other long range protocols, or other data transfer technology.

“EPHEMERAL MESSAGE” in this context refers to a message that is accessible for a time-limited duration. An ephemeral message may be a text, an image, a video, and the like. The access time for the ephemeral message may be set by the message sender. Alternatively, the access time may be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is transitory.

“MACHINE-READABLE MEDIUM” in this context refers to a component, device, or other tangible media able to store instructions and data temporarily or permanently and may include, but is not limited to, random-access memory (RAM), read-only memory (ROM), buffer memory, flash memory, optical media, magnetic media, cache memory, other types of storage (e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or any suitable combination thereof. The term “machine-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, or associated caches and servers) able to store instructions. The term “machine-readable medium” shall also be taken to include any medium, or combination of multiple media, that is capable of storing instructions (e.g., code) for execution by a machine, such that the instructions, when executed by one or more processors of the machine, cause the machine to perform any one or more of the methodologies described herein. Accordingly, a “machine-readable medium” refers to a single storage apparatus or device, as well as “cloud-based” storage systems or storage networks that include multiple storage apparatus or devices. The term “machine-readable medium” excludes signals per se.

“COMPONENT” in this context refers to a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, APIs, or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions. Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various example embodiments, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein.

A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special-purpose processor, such as a Field-Programmable Gate Array (FPGA) or an ASIC. A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software) may be driven by cost and time considerations. Accordingly, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering embodiments in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time.

Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components. In embodiments in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access. For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output.

Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information). The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented components. Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an API). The performance of certain of the operations may be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some example embodiments, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other example embodiments, the processors or processor-implemented components may be distributed across a number of geographic locations.

“PROCESSOR” in this context refers to any circuit or virtual circuit (a physical circuit emulated by logic executing on an actual processor) that manipulates data values according to control signals (e.g., “commands,” “op codes,” “machine code,”, etc.) and which produces corresponding output signals that are applied to operate a machine. A processor may, for example, be a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) processor, a Complex Instruction Set Computing (CISC) processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an ASIC, a Radio-Frequency Integrated Circuit (RFIC) or any combination thereof. A processor may further be a multi-core processor having two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously.

“TIMESTAMP” in this context refers to a sequence of characters or encoded information identifying when a certain event occurred, for example giving date and time of day, sometimes accurate to a small fraction of a second.

Changes and modifications may be made to the disclosed embodiments without departing from the scope of the present disclosure. These and other changes or modifications are intended to be included within the scope of the present disclosure, as expressed in the following claims.

Claims

1. A method comprising: determining, by one or more processors, that one or more criteria associated with a user correspond to a trip taken by the user during a given time interval;retrieving, by the one or more processors, a plurality of media generated by a client device of the user during the given time interval;automatically selecting a plurality of avatar customizations to represent the trip based on the plurality of media generated by the user during the given time interval, the automatically selecting the plurality of avatar customizations comprising: selecting a first customization of the plurality of avatar customizations associated with a same first tag in response to determining that a first number of the plurality of media associated with the same first tag exceeds a first minimum threshold value; andselecting a second customization of the plurality of avatar customizations associated with a same second tag in response to determining that a second number of the plurality of media associated with the same second tag exceeds a second minimum threshold value that is greater than the first minimum threshold value;in response to determining that a specified period of time has elapsed since the client device has returned to a home location after being at a different location, automatically generating a trip-based avatar for the user based on the plurality of avatar customizations; andcausing display of the trip-based avatar.
2. The method of claim 1, wherein the determining that the one or more criteria associated with the user correspond to the trip comprises: obtaining location information for the plurality of media;determining a home location for the user; anddetermining that a travel location indicated by the location information is spaced from the home location by more than a specified threshold distance.
3. The method of claim 1, further comprising: determining that the client device has been at the different location for more than a specified threshold; anddetecting when the client device returns to the home location after being at the different location.
4. The method of claim 1, further comprising: determining that the client device has been at a different location than a home location for more than a specified threshold; andgenerating the given time interval based on a first time at which the client device has left the home location and a second time at which the client device returned to the home location.
5. The method of claim 1, further comprising: determining a duration of time spent on the trip based on the given time interval; andselecting a first avatar customization of the plurality of avatar customizations based on the duration of time spent on the trip, such that the first avatar customization is of a first type when the duration of time spent on the trip is more than a specified amount and is of a second type when the duration of time spent on the trip is less than the specified amount.
6. The method of claim 5, wherein the first type of avatar customization comprises a first type of bag and the second type of avatar customization comprises a second type of bag.
7. The method of claim 5, further comprising randomly selecting between a plurality of avatar customizations of the first type for use as the first avatar customization when the duration of time spent on the trip is more than the specified amount.
8. The method of claim 5, further comprising generating a title for the trip-based avatar based on a quantity of destinations visited during the trip.
9. The method of claim 5, further comprising: determining a destination of the trip based on the plurality of media;computing a distance between the destination of the trip and a home location of the client device; andin response to determining that the distance exceeds a distance threshold, selecting a second avatar customization of the plurality of avatar customizations based on the distance between the destination of the trip and the home location, such that the second avatar customization is of a third type when the distance is more than the distance threshold and is of a fourth type when the distance is less than the distance threshold.
10. The method of claim 9, further comprising randomly selecting between a plurality of avatar customizations of the third type for use as the second avatar customization when the distance is more than the distance threshold.
11. The method of claim 9, further comprising randomly selecting between a plurality of avatar customizations of the fourth type for use as the second avatar customization when the distance is less than the distance threshold.
12. The method of claim 9, wherein the second avatar customization comprises a mode of transportation to the destination from the home location, and wherein the third type of avatar customization comprises an airplane and the second type of avatar customization comprises a car.
13. The method of claim 5, further comprising: determining a destination of the trip based on the plurality of media;comparing weather at the destination of the trip to weather at a home location of the client device; andin response to determining that the weather at the destination differs from the weather at the home location, selecting a second avatar customization of the plurality of avatar customizations based on the weather at the destination.
14. The method of claim 1, further comprising: selecting a first avatar customization of the plurality of avatar customizations based on a distance between a destination of the trip and a home location, such that the first avatar customization is of a first type when the distance is more than a distance threshold and is of a second type when the distance is less than the distance threshold.
15. The method of claim 1, further comprising: generating a plurality of tags based on the plurality of media;ranking the plurality of tags; andselecting a subset of the plurality of tags having a rank that exceeds a specified value, wherein the plurality of avatar customizations is selected based on the subset of the plurality of tags.
16. The method of claim 1, further comprising: determining a duration of time that has elapsed since the client device has returned to the home location after being at the different location; andgenerating a title for the trip-based avatar based on the duration of time that has elapsed since the client device has returned to the home location after being at the different location.
17. The method of claim 15, further comprising: determining an activity performed by the user on the trip based on the plurality of tags;determining that the activity is a rarely performed activity that is different than activities normally performed by the user; andincreasing rank associated with the rarely performed activity in response to determining that the activity is different than the activities normally performed by the user.
18. The method of claim 1, further comprising: generating a plurality of tags based on the plurality of media.
19. A system comprising: a processor configured to perform operations comprising:determining that one or more criteria associated with a user correspond to a trip taken by the user during a given time interval;retrieving a plurality of media generated by a client device of the user during the given time interval;automatically selecting a plurality of avatar customizations to represent the trip based on the plurality of media generated by the user during the given time interval, the automatically selecting the plurality of avatar customizations comprising: selecting a first customization of the plurality of avatar customizations associated with a same first tag in response to determining that a first number of the plurality of media associated with the same first tag exceeds a first minimum threshold value; andselecting a second customization of the plurality of avatar customizations associated with a same second tag in response to determining that a second number of the plurality of media associated with the same second tag exceeds a second minimum threshold value that is greater than the first minimum threshold value;in response to determining that a specified period of time has elapsed since the client device has returned to a home location after being at a different location, automatically generating a trip-based avatar for the user based on the plurality of avatar customizations; andcausing display of the trip-based avatar.
20. A non-transitory machine-readable storage medium that includes instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising: determining that one or more criteria associated with a user correspond to a trip taken by the user during a given time interval;retrieving a plurality of media generated by a client device of the user during the given time interval;automatically selecting a plurality of avatar customizations to represent the trip based on the plurality of media generated by the user during the given time interval, the automatically selecting the plurality of avatar customizations comprising: selecting a first customization of the plurality of avatar customizations associated with a same first tag in response to determining that a first number of the plurality of media associated with the same first tag exceeds a first minimum threshold value; andselecting a second customization of the plurality of avatar customizations associated with a same second tag in response to determining that a second number of the plurality of media associated with the same second tag exceeds a second minimum threshold value that is greater than the first minimum threshold value;in response to determining that a specified period of time has elapsed since the client device has returned to a home location after being at a different location, automatically generating a trip-based avatar for the user based on the plurality of avatar customizations; andcausing display of the trip-based avatar.

CLAIM OF PRIORITY

This application claims the benefit of priority to U.S. Provisional Application Ser. No. 62/988,078, filed on Mar. 11, 2020, which is incorporated herein by reference in its entirety.

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Related Publications (1)

	Number	Date	Country
	20210285774 A1	Sep 2021	US

Provisional Applications (1)

	Number	Date	Country
	62988078	Mar 2020	US

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