Patent Application
20150317688
The present disclosure generally relates to data processing systems. More specifically, the present disclosure relates to methods, systems and computer program products that facilitate the making of recommendations to members of a social networking application or service regarding content campaigns generally, and sponsored content campaigns in particular, where the recommendations are directed to enabling members to achieve one of several desired objectives with a content campaign.
As social networking applications and services have proliferated, the content communication mechanism that is commonly referred to as a feed has also increased in complexity and popularity. In the context of social networking applications and services, a feed—also commonly referred to as a “newsfeed,” “content feed,” “stream,” “activity stream,” “content stream,” and/or “update stream”—is a content communication or publishing platform by which content publishers can publish or post content items for others to consume (e.g., view and/or hear). With some feeds, the content items that are presented to any particular member are content items that have been posted by a person, or on behalf of an entity (e.g., company, school, organization, etc.), to which the particular member has some association. For instance, with some feeds, the content selected for presentation to a particular member is content posted by other members with whom the particular member is connected, or, following.
As used herein, a “connection” is an explicitly defined, bi-lateral relationship that exists between two members of a social networking application or service. For example, two members are directly connected (e.g., first-degree connections) when each member has taken some explicit action to acknowledge an existing relationship with the other member. Second- and third-degree connections exist between two members where there is one intermediary member, in the case of a second-degree connection, or two intermediary members, in the case of a third-degree connection, connecting the two members. In contrast to the concept of a connection, a “following” relationship typically is a unilateral relationship. For instance, a first member can typically follow a second member without any explicit authorization by the second member. As such, the concept of “following” is similar to subscribing—that is, when a member “follows” another person or entity, the member is in essence subscribing to receive, in his or her feed, content that is posted by, or on behalf of, another person or entity. In any case, with many feeds, the content selected for presentation to a particular member is content that has been published by, or otherwise relates to, another member with whom the particular member is associated (e.g., connected or following).
As a member of a social networking service establishes more and more connections, and follows more and more people, companies, and other entities, the amount of content eligible for presentation in the member's feed increases. In fact, in many instances, the volume of content that may be eligible for presentation to a member far exceeds the practical amount of content that the member can reasonably consume (e.g., read or view). Consequently, many applications or services that use a feed include some type of content selection and relevance logic that is aimed at selecting only the most relevant content to present to a particular member, and then presenting it in order of importance or popularity. In some instances, in selecting and ranking the content items to be presented to a particular member, the relevance logic takes into consideration the inferred or perceived popularity of the content items as measured by the amount and nature of the social activities or social gestures that have occurred in connection with the content items. For example, when a content item is published and presented in a feed, a member may interact with the content item in a variety of ways. A member may “like” the content item, share or re-share the content item, make comments on the content item, select one of several links or hyperlinks associated with the content item, and so forth. These actions are generally referred to as social gestures, and can be used by a relevance algorithm as signals for determining a ranking score for a content item, such that the ranking score will affect how prominently positioned the content item is in a member's feed.
With some feeds, when a member is preparing content to be published, the member is provided an opportunity to promote or sponsor the content. In general, when a member promotes or sponsors a content item, the member agrees to pay a fee in order to manipulate how the relevance algorithm processes the content item. For example, when promoting or sponsoring a content item, the content item may be presented to members who would otherwise not be eligible for viewing the content item, for example, because the members are not associated with (e.g., connected or following) the person or entity on whose behalf the promoted or sponsored content is being published. Accordingly, a company may want to promote or sponsor a content item in order to communicate a message to members, who may not already be following, and thus receiving content items from, the company. Similarly, a content item that is promoted or sponsored may be formatted differently to draw attention to the content item, and/or have its ranking score boosted so that the content item appears in a more prominent position in the feed (e.g., at the top), and so forth.
Many organizations (e.g., companies, schools, government organizations, etc.) have found that posting content to a feed of a social networking application or service can be an effective means of communicating with customers, students, constituents, stakeholders, and so forth. For example, for companies in particular, a feed is a good way of creating brand awareness. However, for a variety of reasons, not all organizations will have members who are experienced with publishing content to a feed, and thus, will not be positioned to take full advantage of the many benefits of this relatively new type of content communication or publishing platform.
Some embodiments are illustrated by way of example and not limitation in the FIG.s of the accompanying drawings, in which:
The present disclosure describes methods, systems and computer program products for use in providing to members of a social networking application or service using a content communication or publishing platform a recommendation regarding a content campaign, wherein the recommendation is meant to aid the member in achieving with the content campaign one of several member-specified objectives. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the various aspects of different embodiments of the present invention. It will be evident, however, to one skilled in the art, that the present invention may be practiced without all of the specific details and/or with variations, permutations and combinations of the various features and elements described herein.
Skilled artisans will immediately recognize that the inventive subject matter set forth herein will be particularly applicable to computer network-based applications and services that implement a content communication or publishing platform that presents content in the form of a feed or content feed, enabling users to publish and share content with others. This type of content publishing platform is commonly used with a variety of applications and services that include, but are certainly not limited to, social networking services, micro-blogging and blogging services, question-and-answer services, knowledge management applications and services, social enterprise applications, and various other web-based portals. Typically, when a user of one of these applications or services first registers with the application or service, the user will provide certain personal information that becomes part of what is commonly referred to as a member profile. As such, a registered user may generally be referred to herein as a member. However, for purposes of the present document, the term “member” is meant to encompass any user of a particular application or service, consistent with embodiments of the present invention.
Consistent with some embodiments of the invention, a content publishing platform includes a content publishing module that has a user interface enabling a member of a social networking service to provide or otherwise specify some content for publishing (also, commonly referred to as posting) to other members' personalized feeds. In addition to providing or specifying the content to be included in the content posting, the member is prompted to specify or select a desired objective to be achieved with the content posting. For example, the member may desire to maximize the number of followers obtained via the content posting. Alternatively, the member may desire to maximize the viral effect of the content posting by having recipients of the content posting re-share or re-publish the content posting to other members. In other scenarios, the member may simply desire to maximize the number of recipients of the content posting who perform some social action or gesture with respect to the content posting, such as “liking” or up-voting the content posting, which is typically achieved by interacting with a user interface element (e.g., an interactive, user-selectable button or text, labelled as, “like,” “up-vote,” “+1” or with some similar designation.) In yet another example, a member may specify as an objective a desire to maximize or increase content engagement by having members discuss the content posting via a commenting tool or service. These are just some of the example objectives that a content publisher and social networking service participant might specify for a particular content campaign.
Once the member has provided or otherwise specified the content to be included in the content posting, and then selected or otherwise specified the desired objective, a member-targeting optimization module will automatically identify a set of members to whom the content posting should be presented in order to provide the best opportunity to achieve the desired objective. For example, if the desired objective is to increase or maximize the number of members who “like” the content posting, the member-targeting optimization module may identify as preferred recipients of the content posting those members who have previously taken action to “like” or up-vote a previously published content posting that is similar to the current content posting. Similarly, if the desired objective is to increase or maximize the number of members who follow the entity on whose behalf the content is being published, the member-targeting optimization module may identify as preferred recipients of the content posting those members who are most likely to interact with the content posting by taking some action to follow the entity on whose behalf the content posting is being published. For example, the member-targeting optimization module may select as preferred recipients certain members who have recently chosen to follow one or more entities that are known to be similar to the entity on whose behalf the content posting is being published. Accordingly, with some embodiments, given a particular member-specified content posting and a particular member-specified desired objective, the target audience—that is, the members to whom the content is made eligible for presentation—is automatically selected based on a determination that the selected target audience is most likely to take action consistent with the desired objective. In this way, the content publisher need not spend time and energy speculating about which member segments should be targeted to achieve the desired objective. Instead, the content publishing platform will automatically identify the most suitable target audience for the content posting to achieve the member-specified desired objective.
With some embodiments, when a member is specifying parameters for a promoted or sponsored content posting, the member must specify an amount of currency (real or virtual) the member is willing to spend on the campaign. For example, the amount may be specified on a cost-per click or cost-per impression basis. With some embodiments, as impressions occur and the content posting is presented in the personalized feeds of various members that are part of the target audience, the member-targeting optimization module may identify attributes and/or characteristics possessed by those members who are taking action that is consistent with the member-specified desired objective. For example, if the performance data for the partially executed content campaign shows that a particular segment of members in the targeted audience is taking action consistent with the desired objective at a rate that meets or exceeds some threshold measure, the member-targeting optimization module may automatically and dynamically modify the defined target audience, for example, by limiting the target audience to those members who possess the frequently observed attributes and characteristics consistent with, or similar to, the particular segment. For example, if the desired objective is to maximize the number of members who “like” or up-vote the content posting, and the performance data for the partially completed content campaign shows that members having the job title, “Software Engineer,” residing in the San Francisco Bay Area, are “liking” or up-voting the content posting at a rate that exceeds some threshold rate, then the member-targeting optimization module may modify or limit the defined target audience to those members who, according to their member profiles, are residing in the San Francisco Bay Area and have the job title, “Software Engineer.”
Consistent with some embodiments of the invention, a member may specify a target audience for a content posting and specify a desired objective for the content posting, and a content analysis and selection module will automatically select an existing content posting from a variety of existing candidate content postings to be promoted or sponsored by the member, in order to achieve the member-specified desired objective. For example, consistent with some embodiments, a content publishing platform includes a member-targeting module that allows a member who is posting content to designate a target audience for a content posting by specifying various desirable attributes and characteristics of those members to be included in the target audience. For example, the member may specify that the target audience is to consist of those members who, according to their member profiles, possess certain attributes and characteristics (e.g., geographic location, job title, employer, industry, interests, skills, seniority, school attended, field of study, etc.). In addition, the member may specify a desired objective for the content posting. Then, the content analysis and selection module will perform content analysis on a variety of existing content postings to select and recommend a particular content posting to the member that will most likely result in achieving the desired objective. With some embodiments, the candidate content postings may consist of all content items previously posted by the member, or the entity on whose behalf the sponsored content posting is to be published. Alternatively, the candidate content postings may consist of some larger set of content postings, to include certain content postings published by other members and/or entities. With some embodiments, the content analysis may occur in real-time or near real-time, for example, as the member provides the content campaign parameters. However, with some embodiments, the content analysis may be periodically performed to identify relationships and similarities between content postings, and/or the entities on whose behalf content postings are made.
By way of example, if the desired objective is to maximize or increase engagement through member comments made about a sponsored content posting, the content analysis module may identify a particular existing content posting that, when previously published, resulted in a significant number of members making comments about the content posting. Alternatively, the content analysis module may identify one or more content postings published by an entity that has been determined to be similar to the entity on whose behalf the sponsored content posting is being published, and then analyze the one or more content postings of this similar entity to determine the attributes and characteristics of those content postings that members have interacted with in a way that is consistent with the member-specified desired objective. Then, the content analysis module may select a candidate content posting that has the same, or similar, attributes and/or characteristics as those content postings with which members have previously interacted in a way that is consistent with the desired objective. Accordingly, the selected candidate content posting is then recommended to the content publisher as the best content posting to promote or sponsor for achieving the member-specified desired objective.
With some embodiments, the above-described recommendations (i.e., the automatic identification of the best target audience, and/or, the automatic identification of the best content posting, to achieve a desired objective) are provided only in the context of a promoted or sponsored content posting. That is, the content posting recommendations are made when the member (e.g., content publisher) is paying a fee in order to broaden the potential target audience for the content posting to members beyond those with whom the content publisher is already associated (e.g., connected or following), or otherwise manipulating the normal behavior of the relevance algorithm used in selecting and ranking content items presented in the feed. However, with some embodiments, the above-described recommendations may be made for any content posting, including those that are not being sponsored or promoted. Other aspects and advantages of various embodiments of the invention will be readily apparent from the description of the figures that follows.
As shown in
As shown in
Once registered, a member may invite other members, or be invited by other members, to connect via the social networking service. A “connection” may require a bi-lateral agreement by the members, such that both members acknowledge the establishment of the connection. Similarly, with some embodiments, a member may elect to “follow” another member. In contrast to establishing a connection, the concept of “following” another member typically is a unilateral operation, and at least with some embodiments, does not require acknowledgement or approval by the member that is being followed. When one member follows another member, the member who is following may receive content postings status updates or other content postings published by the member being followed, or relating to various activities undertaken by the member being followed. Similarly, when a member follows an organization, the member becomes eligible to receive content postings published on behalf of the organization and/or system or service-generated content postings that relate to the organization. For instance, messages or content postings published on behalf of an organization that a member is following will appear in the member's personalized feed. In any case, the various associations and relationships that the members establish with other members, or with other entities and objects, are stored and maintained within the social graph, shown in
As members interact with the various applications, services and content made available via the social networking service, the members' behavior (e.g., content viewed, links selected, etc.) may be monitored and information concerning the members' behavior may be stored, for example, as indicated in
The content publishing platform provides members, as well as applications and services with a communication mechanism for communicating content postings to members. The content posting module 18 operates in conjunction with one or more user interfaces to enable a member to specify content to be published and presented to other members. For example, the content posting module 18 has an associated user interface via which members can specify the particular content that is to be included in a content posting. The member-specified content may be or otherwise include text, file attachments (e.g., photographs, documents, audio or video files, etc.), hyperlinks, and so forth. With some embodiments, when a hyperlink is detected in the specified content, some portion of the particular document of content referenced by the hyperlink may be obtained for inclusion with the content posting.
A member-targeting module 20 has an associated user interface that allows a member to specify a target audience by selecting desirable member attributes and characteristics possessed by those members to be included in the target audience. Under certain circumstances, the member-targeting optimization module 22 automatically identifies an optimal target audience for a particular content campaign or content posting. For example, when a content publisher provides some content and specifies a desired objective, the member-targeting optimization module 22 identifies a target audience that will most likely act consistent with the desired objective. For instance, with some embodiments, the member-targeting optimization module 22 will obtain attributes and characteristics of the content posting that is to be published, and then identify one or more similar content postings that have been made by an entity similar to the entity on whose behalf the content posting is being published. These similar content postings are then analyzed to identify the attributes and characteristics of the members who interacted with these similar content postings in a manner consistent with the desired objective. Finally, the member-targeting optimization module 22 will identify members who possess the same, or similar, attributes and characteristics as those possessed by the members who took action on a similar content posting, where such action was consistent with the member-specified desired objective.
With some embodiments, the member-targeting optimization module 22 will analyse an active content campaign in order to identify specific member attributes and characteristics that are possessed by members who are acting with respect to a content posting in a manner consistent with the desired objective. As such, the member-targeting optimization module 22 may identify a certain segment of the target audience that is more frequently acting consistent with the desired objective than some other segments of the target audience. Accordingly, the member-targeting optimization module may fine-tune or otherwise narrow the target audience to include members who possess the particular member attributes and characteristics that are commonly possessed by those members who have already acted consistently with the desired objective.
The content publishing platform 16 includes a content analysis and selection module 24. In certain scenarios, for example, when a member has specified a desired objective and a target audience, the content analysis and selection module 24 identifies the best content posting the member can select to promote or sponsor to achieve the member's desired objective. For example, when a member manually selects the target audience and a desired objective, the content analysis and selection module may identify previously published content postings with which members of the member-specified target audience have previously interacted in some manner that was consistent with the member-specified desired objective. Then, attributes and characteristics of the content postings that the target audience interacted with in a manner consistent with the desired objective are identified. These attributes and characteristics are then compared with the attributes and characteristics of various candidate content postings, such that, a candidate content posting that has the most similarity with a previously published content posting that achieved the desired objective is selected.
With some embodiments, several desired objectives may be presented to the member for selection. By way of example, the system may prompt the member to select from the following desired objectives: maximize the number of members who “like” the content posting; maximize the number of members who re-share the content posting; maximize the number of members who comment on the content posting; maximize the number of members who elect to follow the entity on whose behalf the content posting is being published, and; maximize the number of members who select a link to a third-party hosted web page.
Next, at method operation 44, a member-targeting optimization module automatically selects a target audience to whom the content posting is to be presented to achieve the desired objective. For example, with some embodiments, the member-specified content posting is analyzed to identify its most prominent attributes and characteristics (e.g., subject matter, etc.). In addition, attributes and characteristics of the entity on whose behalf the content posting is to be published are also identified. These attributes and characteristics are then used to identify previously published content postings that members engaged with in a manner consistent with the member-specified desired objective. With some embodiments, the members who interacted with similar content postings in a manner consistent with the desired objective are selected for inclusion in the target audience. Alternatively, the most commonly occurring attributes and characteristics of these members (i.e., the members who interacted with a similar content posting in a manner consistent with the desired objective) may be identified, so that members having these frequently observed attributes and characteristics can be included in the target audience.
Finally, once the target audience has been selected, at method operation 46 the content posting is published via the content publication platform so that the content posting can be viewed in the personalized content feeds of those members included in the target audience. For example, when a member included in the target audience views his or her feed, the content publishing platform will select the content posting to present to the member.
In addition, as illustrated by the boxes with reference number 64, the member may opt to allow the content publishing module to automatically identify the target audience that will best achieve the desired objective, or may allow the content publishing platform to automatically select the content posting that is to be sponsored to achieve the desired objective. In addition, as shown with reference number 66, the member may opt in to a dynamic targeting optimization feature that will modify the target audience during the content campaign, based on performance, in an attempt to achieve the desired objective.
In the example of
By selecting a set of attributes and characteristics for use as member targeting criteria for a content posting, a member is defining a segment—that is, a set of members of the social networking service who have attributes satisfying the member targeting criteria. In the example of
With some embodiments, a member is provided with the option of using the member-selected member targeting criteria for the entire duration of the content campaign, or alternatively, electing to use a dynamic targeting optimization scheme by which the targeting criteria will be automatically modified over time during the content campaign, with a view to achieving some member-specified objective. With some embodiments, the dynamic targeting optimization scheme may be used with all campaigns by default. In yet other embodiments, other user interface elements may be presented to allow an advertiser to provide various input information to establish parameters or configuration settings by which the dynamic targeting scheme will operate for the particular advertising campaign. For example, with some embodiments, a content publisher may provide a parameter to indicate how aggressively new or alternative targeting criteria should be tested—in essence, establishing the number or percentage of impressions for which modified targeting criteria may be used to test alternative targeted segments.
The various operations of the example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software instructions) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented modules or objects that operate to perform one or more operations or functions. The modules and objects referred to herein may, in some example embodiments, comprise processor-implemented modules and/or objects.
Similarly, the methods described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented modules. The performance of certain operations may be distributed among the one or more processors, not only residing within a single machine or computer, but deployed across a number of machines or computers. In some example embodiments, the processor or processors may be located in a single location (e.g., within a home environment, an office environment or at a server farm), while in other embodiments the processors may be distributed across a number of locations.
The one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or within the context of “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), these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., Application Program Interfaces (APIs)).
The example computer system 1500 includes a processor 1502 (e.g., a central processing unit (CPU), a graphics processing unit (GPU) or both), a main memory 1501 and a static memory 1506, which communicate with each other via a bus 1508. The computer system 1500 may further include a display unit 1510, an alphanumeric input device 1517 (e.g., a keyboard), and a user interface (UI) navigation device 1511 (e.g., a mouse). In one embodiment, the display, input device and cursor control device are a touch screen display. The computer system 1500 may additionally include a storage device 1516 (e.g., drive unit), a signal generation device 1518 (e.g., a speaker), a network interface device 1520, and one or more sensors 1521, such as a global positioning system sensor, compass, accelerometer, or other sensor.
The drive unit 1516 includes a machine-readable medium 1522 on which is stored one or more sets of instructions and data structures (e.g., software 1523) embodying or utilized by any one or more of the methodologies or functions described herein. The software 1523 may also reside, completely or at least partially, within the main memory 1501 and/or within the processor 1502 during execution thereof by the computer system 1500, the main memory 1501 and the processor 1502 also constituting machine-readable media.
While the machine-readable medium 1522 is illustrated in an example embodiment to be a single medium, the term “machine-readable medium” may include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more instructions. The term “machine-readable medium” shall also be taken to include any tangible medium that is capable of storing, encoding or carrying instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the present invention, or that is capable of storing, encoding or carrying data structures utilized by or associated with such instructions. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media. Specific examples of machine-readable media include non-volatile memory, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.
The software 1523 may further be transmitted or received over a communications network 1526 using a transmission medium via the network interface device 1520 utilizing any one of a number of well-known transfer protocols (e.g., HTTP). Examples of communication networks include a local area network (“LAN”), a wide area network (“WAN”), the Internet, mobile telephone networks, Plain Old Telephone (POTS) networks, and wireless data networks (e.g., Wi-Fi® and WiMax® networks). The term “transmission medium” shall be taken to include any intangible medium that is capable of storing, encoding or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible medium to facilitate communication of such software.
Although embodiments have been described with reference to specific examples, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the invention. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. The accompanying drawings that form a part hereof, show by way of illustration, and not of limitation, specific embodiments in which the subject matter may be practiced. The embodiments illustrated are described in sufficient detail to enable those skilled in the art to practice the teachings disclosed herein. Other embodiments may be utilized and derived therefrom, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. This Detailed Description, therefore, is not to be taken in a limiting sense, and the scope of various embodiments is defined only by the appended claims, along with the full range of equivalents to which such claims are entitled.
The present application claims priority to U.S. Provisional Patent Application No. 61/986,811, filed on Apr. 30, 2014, entitled, OPTIMIZING A CONTENT CAMPAIGN TO ACHIEVE A DESIRED OBJECTIVE, which is hereby incorporated by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 61986811 | Apr 2014 | US |
