Content Relevance Weighting System

Abstract

A system for adjusting a relevance weight value for a content item is described. The system comprises a content delivery module configured to deliver a plurality of content items to a device via a network. The content items are displayed on the device. A user provides a feedback input that is a positive review or a negative review for a content item. The feedback input is transmitted to a relevance weight adjustment module that subtracts a first point value from the relevance weight value associated with a first set of users when a negative review is received for the content item and adds a first point value to the relevance weight value associated with a first set of users when a positive review is received for the content item.

Description

FIELD

The present invention relates to a system and method for delivering relevant content to a wireless handset. More particularly, the present invention relates to a system and method for adjusting a relevance weight value for a content item based on user reaction to the content.

BACKGROUND

Services that provide ranked lists of results are well known, for example, in the areas of internet search and advertising. Such services may gauge user response to the provided content to improve the relevance of ranked results provided to the users of the service. Passive user responses, such as selection of content, manipulation of content, or time spent viewing particular content are monitored and the relevance weighting applied to the content is adjusted accordingly. Active user feedback, such as a rating provided by the user for a particular content item, is also used to impact relevance weighting for content.

User profile information such as user interest, user location, etc. has been used in existing content delivery systems to impact the relevance weighting of content. However, existing systems lack means for adjusting relevance weighting of content for a group of users having a shared profile attribute based on both active and passive user responses to received content.

Moreover, there remains a need for a content delivery system that ranks content based on the location of the user accessing the content.

SUMMARY

A system for adjusting a relevance weight value for a content item is described. The system comprises a plurality of user profiles, each user profile comprising a user identification. The system further comprises a plurality of content items. An initial relevance weight value is associated with each content item. The system further comprises a network. A content delivery module is communicatively coupled to the network. The content delivery module is configured to deliver a plurality of content items to a wireless device via the network. The wireless device is configured to display the content items. A user interface disposed on the wireless device is configured to receive a feedback input associated with at least one content item and transmit the feedback input to the content delivery module. A positive review input disposed on the wireless device corresponds to a positive feedback input. A negative review input disposed on the wireless device corresponds to a negative feedback input. A relevance weight adjustment module operatively coupled to the content delivery module is configured to perform one of a subtraction operation or an addition operation. The subtraction operation comprises subtracting a first point value from the relevance weight value associated with a first set of users when a negative review is received for the content item. The addition operation comprises adding a first point value to the relevance weight value associated with a first set of users when a positive review is received for the content item.

In another embodiment, a system for adjusting a relevance weight value for a content item comprises a means for displaying content items.

A method for adjusting a relevance value for a content item is also described. The method comprises associating at least one attribute group with a user identification. The method further comprises associating an initial relevance weight value with a content item. A plurality of content items are delivered to a wireless device via a network. The content items are displayed on the wireless device. A user interface disposed on the wireless device receives a feedback input associated with at least one content item. The feedback input is transmitted to the content delivery module. The transmitting comprises transmitting a positive review feedback input when feedback input is received from a positive feedback input disposed on the wireless device. The transmitting further comprises transmitting a negative review feedback input when feedback input is received from a negative feedback input disposed on the wireless device. One of a subtraction operation or an addition operation are performed with a relevance weight adjustment module operatively coupled to the content delivery module. The subtraction operation comprises subtracting a first point value from the relevance weight value associated with a first set of users when a negative review is received for the content item. The addition operation comprises adding a first point value to the relevance weight value associated with a first set of users when a positive review is received for the content item.

FIGURES

The present invention will be more fully understood by reference to the following drawings which are for illustrative, not limiting, purposes.

FIG. 1 shows a system diagram of an illustrative content item relevance weighting system.

FIG. 2 shows an illustrative user interface for displaying content items on a wireless handset.

FIG. 3 shows an illustrative database table entry for a user profile.

FIG. 4 shows an illustrative database table entry for associating a user identification with an attribute group.

FIG. 5 shows an illustrative database table entry for associating a user identification with an attribute group.

FIG. 6 shows an illustrative database table entry for associating a content item with an attribute group.

FIG. 7 shows an illustrative database table entry for associating a content item with a location identifier.

FIG. 8A shows an illustrative database table entry for associating a content item with a time a relevance weight value.

FIG. 8B shows an illustrative graph showing a change in relevance weight value for a content item over time.

FIG. 9 shows an illustrative flow chart indicating a method for adjusting relevance weighting according to a first embodiment.

FIG. 10 shows an illustrative flow chart indicating a method for adjusting relevance weighting according to a second embodiment.

FIG. 11 shows an illustrative flow chart indicating a method for adjusting relevance weighting according to a third embodiment.

FIG. 12 shows an illustrative flow chart indicating a method for adjusting relevance weighting according to a fourth embodiment.

DETAILED DESCRIPTION

Persons of ordinary skill in the art will realize that the following description is illustrative and not in any way limiting. Other embodiments of the claimed subject matter will readily suggest themselves to such skilled persons having the benefit of this disclosure.

A relevance weighting system for content is described. Content items are accessible to a plurality of users having user profiles. The content items are delivered via a network to a computing device, such as a wireless handset. The user of the wireless handset may provide feedback for a content item. Based on the feedback received, a relevance weight value associated with the content item is adjusted. One or more passive measures of user response to the content item may also be used to adjust the relevance weight value associated with the content item.

According to one embodiment, when positive feedback is received, for each attribute group associated with the user, a predetermined point value is added to the relevance weight value associated with the content item. An attribute group may be any category to which a user belongs as determined from information provided by or information collected about the user, for example, a location of the user (such as a city or zip code), a user interest, an age of the user or age group to which the user belongs, and so on. Similarly, if negative feedback is received, a predetermined point value is subtracted from the content item relevance weight value for each attribute group associated with the user.

In another embodiment, when positive feedback is received, a predetermined point value is added to a content item relevance weight value for all users. Similarly, if negative feedback is received, a predetermined point value is subtracted from a content item relevance weight value for all users.

In an alternative embodiment, if a content item transmitted to one or more wireless handsets more than a predetermined number of times without being selected, a predetermined point value is subtracted from a content item relevance weight value for all users.

In another embodiment, if a content item is selected, a predetermined point value is added to a content item relevance weight value for all users.

In a further embodiment, if a content item is selected on a wireless handset, a predetermined point value is added to a content item relevance weight value associated with the location occupied by the user of the wireless handset.

It will be recognized that the relevance weight value may be adjusted according to a combination of the embodiments described above.

Referring to FIG. 1, a system diagram of an illustrative content item relevance weighting system is shown. Wireless handset 102 is operated by user 104. The wireless handset may be a mobile handset, mobile phone, wireless phone, portable cell phone, cellular phone, portable phone, a personal digital assistant (PDA), a tablet, a portable media device, or any type of mobile terminal which is regularly carried by a user and has all the elements necessary for operation in a wireless communication system.

Wireless handset 102 periodically receives content items via network 108. The wireless communications include, by way of example and not of limitation, CDMA, WCDMA, GSM or UMTS or any other wireless communication system such as wireless local area network (WLAN), Wi-Fi or WiMAX. Network 108 may be a local area network (“LAN”), wide area network (“WAN”), or any other network to facilitate communication among computers and wireless communication devices.

Typically the content delivered to wireless handset 102 originates from a server such as remote server 106. Content delivery module 110 and relevance weight adjustment module 112 run on a processor, for example, a processor of the remote server. In some embodiments, the content delivery module and relevance weight adjustment module run on separate processors. Content delivery module 110 selects and transmits one or more content items to wireless handset 102. The content items are displayed on a display of the wireless handset. Content deliver module may transmit a content item to the wireless handset at fixed intervals, for example, once per thirty seconds or once per five minutes, e.g., once per minute.

Relevance weight adjustment module 112 adjusts a relevance weight value associated with a content item. Typically, content items and relevance weight values are stored on a database, which may be located on remote server 106.

Referring now to FIG. 2, an illustrative user interface 200 for displaying content items on wireless handset 102 is shown. The user interface presents a plurality of content items to the user of wireless handset 102. A content item may be any information or product promotion shared with or created by a user. For example, a content item may include text, audio, video, image or a link such as a link to an external website, link to an interactive map or link to one or more content items. In some embodiments, a content item may be an application, such as a purchasing or gaming interface. A content item may be information provided by a facility to a user, such as content items 206, 208 and 212. Alternatively, a content item may be user-created content, such as content item 210. In some embodiments, a content item may activate command function or request function, such as content item 204.

Illustrative user interface 200 is shown displaying a wireless handset having a touchscreen-type interface; however, it will be appreciated that the user interface may be displayed on any handheld wireless device having a display and a user input means (such as keypad, touchscreen interface, or stylus). Illustrative content items 204-212 are selectable items such as virtual buttons that are activated when the user touches the button on a touchscreen or selects the button with a pointing device.

A feedback input may be displayed proximate to or in conjunction with a content item. The feedback input allows a user to react to the content items displayed. In some embodiments, a positive feedback input, a negative feedback input, or both are displayed. The feedback inputs may be displayed, for example, as “thumbs up” and “thumbs down” symbols displayed on a user-created content item button, as shown at 214 and 216, respectively. The thumbs up and thumbs down input prompts are operable separately from the content item button. When a user selects a feedback input prompt, the wireless handset transmits a feedback message via the network to the remote server 106 indicating the feedback response, e.g., whether the feedback was positive (“thumbs up”) or negative (“thumbs down”). The feedback message may also comprise information about the user, such as a unique user identification (e.g., the User_ID indicated in FIG. 3 below). Alternative feedback input means, such as a system that allows a user to rate a content item on a scale, such as a scale of one to ten or a scale of one to five, may be used.

A “positive feedback input” may also be referred to as a positive review. A “negative feedback input” as used herein may refer to a negative review.

Typically, the feedback input is used to modify a relevance weight value stored in association with the content item. The feedback input may be used to rank content to be displayed in the user interface. The content items transmitted from the remote server to the wireless handset may be filtered by relevance weight value such that a predetermined number of highest ranked content items are returned or such that only those content items exceeding a predetermined threshold are returned.

Referring now to FIG. 3, an illustrative database table entry 300 for a user profile is shown. The table may be populated by the user with information provided via a user profile interface on the wireless handset 102. In some embodiments, the user enters user profile information using an interface on a home computer or other device having access to network 108. User profile information is transmitted via network 108 to a database, such as a relevance engine database residing on remote server 106. The user profile information may be stored in the database in a database table, such as a User_Profile database table. The User_Profile table comprises the field user_ID 302. The illustrative entry 300 in the User_Profile table additionally comprises fields Display_Name 304, Gender 306, Zip_Code 308 and Age 310. In some embodiments, the User_Profile table stores additional information such as a user address, user phone number, user name, etc. In some embodiments, a birthday or an age range is stored for the user rather than an age of the user.

Referring to FIG. 4, an illustrative database table entry 400 for an attribute group is shown. The Attribute_Group table stores a unique identifier for each attribute group available to be associated with a user. Attribute groups for a user may include information provided by the user, such as a location of the user, a user interest, an age of the user or an age group to which the user belongs. In some embodiments, the attribute groups include information collected about a user, for example, information from the user's transaction history with a merchant.

The Attribute_Group table is stored in a database, such as a relevance engine database. The Attribute_Group table comprises fields Attribute_ID 402 and Attribute_Value 406. The illustrative entry 400 in the Attribute_Group table additionally comprises the field Attribute_Category 404. According to the illustrative entry in the Attribute_Group table, the attribute with the Attribute_ID number 11111111 is an attribute with attribute category “sport” and attribute value “skiing.” If the user indicates skiing as an interest, the attribute ID for skiing may be associated with the user ID in a User_Attribute_Group database table as indicated in FIG. 5.

Referring to FIG. 5, an illustrative database table entry 500 for associating a user identification with an attribute group is shown. The User_Attribute_Group table comprises fields Attribute_ID 502 and Attribute_ID 504. The illustrative entry in the User_Attribute_Group table associates user ID “12345678” with attribute id “11111111,” indicating that user “Joe” having user ID 12345678 (as indicated in FIG. 2) is associated with the attribute skiing, identified by attribute ID 11111111. The table entry may have been created with Joe indicated an interest in skiing using a user profile interface or other user interface. Alternatively, a merchant or other content administrator may have determined that Joe is interested in skiing based on, for example, Joe's purchases of skiing equipment from the merchant, and created the User_Attribute_Group table entry shown accordingly.

Referring to FIG. 6, an illustrative database table entry 600 for associating a content item with an attribute group and storing a relevance weight value for the association is shown. The Group_Content_Rating table comprises fields Content_ID 602, Attribute_ID 604 and Relevance_Weight 606. Content_ID has value “00000001,” indicating a unique identification for a content item. Illustrative content items are shown in FIG. 2. For example, content item 00000001 may be text advertising a sale on skiis. In the illustrative entry, content 00000001 in association with attribute 11111111 (skiing) has a relevance weight value of 105.

By way of illustration, user Joe (having user ID 12345678) has indicated an interest in skiing, resulting in the User_Attribute_Group entry shown in FIG. 4. Content item 00000001 may be an advertisement for a sale on skiing equipment, such as content item 206 shown in FIG. 2. When Joe provides positive feedback for content item 00000001, all attribute groups associated with Joe and the content item receive an increase to the relevance weight value. If, for example, an initial relevance weight value of 100 is used for the association between Content_ID 00000001 (e.g., the skiing advertisement) and Attribute_ID 11111111 (e.g., skiing), the positive feedback results in a point increase, for example, a five point increase, resulting in an adjusted relevance weight value of 105. Methods for adjusting Relevance_Weight 606 are described in more detail with reference to FIGS. 9 and 10.

Referring to FIG. 7, an illustrative database table entry 700 for associating a content item with a location identifier and storing a relevance weight value for the association is shown. The Location_Content_Rating table comprises fields Content_ID 702, Location_ID 704 and Relevance_Weight 706. Location_ID has value “22222222,” indicating a unique identification for a location.

In some embodiments, the Location_ID is a unique identification associated with a geofence as described in U.S. provisional patent application Ser. No. 61/454,664, entitled “USER INTERFACE FOR GEOFENCE ASSOCIATED CONTENT.” A geofence is a virtual geographic boundary line delineating a geographic area. For example, a database table entry may associate a set of coordinates corresponding to the area bounded by a geofence with a unique Location_ID. The wireless handset 102 is configured to determine whether it is located within a geofence. In some embodiments, the wireless handset may receive content items associated with the geofence in which the wireless handset is located.

In alternative embodiments, Location_ID may be associated with a zip code, city, GPS coordinates, or a distance range surrounding any of the preceding (e.g., a 300 foot radius surrounding a set of GPS coordinates). Location_ID may alternatively indicate a location determined by scanning a code, such as a QR code, with the wireless handset or a location determined by taking a photograph of the environment with the wireless handset.

By way of illustration, content item 00000001 may be an advertisement for a sale on skiing equipment, such as content item 206. In one example, the wireless handset displaying content item 206 is located in a geofence encompassing the ski store to which the advertisement applies. If the user of the handset provides negative feedback, the relevance weight value associated with location (e.g., the ski store geofence) and the content item (e.g. the ski equipment advertisement) is decreased by a predetermined point value. If, for example, an initial relevance weight value of 100 is used for the association between Content_ID 00000001 and Location_ID 22222222, the negative feedback results in a point decrease, for example, a five point decrease, resulting in an adjusted relevance weight value of 95. A method for adjusting Relevance_Weight 706 is described in more detail with reference to FIGS. 11-12.

Referring now to FIG. 8A, an illustrative database table entry 800 for associating a content item with a time and a relevance weight value. The Content_Rating_Time table comprises fields Content_ID 802, Time 804 and Relevance_Weight 806. Each time the relevance weight for a content item changes, the relevance weight value and time are logged such that a record of the change in relevance weight for the content item over time as shown in FIG. 8B may be created. The Content_Rating_Time table may further comprise field Attribute_ID or Location_ID to allow the change in relevance weight value over time to be analyzed for a particular attribute group or location.

Referring to FIG. 8B, a graph showing a change in relevance weight value for a content item over time is shown. The graph shown in FIG. 8B may be created from the entries in the Content_Rating_Time table. The change in relevance weight value over time may be useful to content administrators in assessing the success of content items.

Referring now to FIG. 9, an illustrative flow chart indicating a method for adjusting relevance weighting according to a first embodiment is shown. The method begins at block 902, at which a content item is received at the wireless handset 102. The content item may be one of a plurality of content items displayed on the handset. At decision diamond 904, relevance weight adjustment module 112 determines whether positive feedback has been received from the wireless handset. If positive feedback has been received for a content item, the method proceeds to block 906. At block 906, for each attribute group associated with the user who provided the positive feedback, a point value x is added to the value of the Relevance_Weight field of the Group_Content_Rating entry having a Content_ID value matching the content item identifier and an Attribute_ID value matching the attribute identifier. Point value x may be any point value, for example, 5 points.

For example, if user 12345678 (display name “Jim”) provides positive feedback for the content item having content identifier 00000001, all attribute groups associated with user 12345678 are located. Accordingly, the User_Attribute_Group table is queried to return all entries for user 12345678. Since the attribute having attribute identifier 11111111 is associated with user 12345678 in the User_Attribute_Group table, the relevance weight associated with Attribute_ID 11111111 will be modified for the selected content item. In the Group_Content_Rating table, the value of Relevance_Weight is adjusted for the entry having Content_ID 00000001 and Attribute_ID 11111111. Because positive feedback was provided, a point value is added to the current value of Relevance_Weight. For example, when positive feedback is provided, 5 points may be added to the current value of Relevance Weight.

If no entry exists in Group_Content_Rating table having an Attribute_ID matching an attribute of the user providing feedback and a Content_ID of the content item for which feedback was received, a new entry is created in Group_Content Rating when the feedback is received. The new entry has a Content_ID matching the identifier of the content item for which feedback was received and an Attribute_ID matching the identifier of an attribute of the user providing feedback. When a new entry is created, the new entry may have a Relevance_Weight value that is a default value. Alternatively, the new entry may have a Relevance_Weight value that is the sum of a default value and the point value modification resulting from the user feedback.

If additional attribute entries were located for user 12345678 in the User_Attribute_Group table, the Relevance_Weight value is adjusted for the additional attributes. The process of creating new records (where necessary) and modifying the Relevance_Weight value is continued until the relevance weight has been adjusted for each attribute group associated with the user.

In some embodiments, the method proceeds to optional block 912, at which the adjusted relevance weight value is logged. For example, an entry in a database table such as Content_Rating_Time may be made.

If no positive feedback is received for a content item, the method proceeds to decision diamond 908, at which it is determined whether negative feedback has been received for the content item. If negative feedback has been received, the method proceeds to block 910. At block 910, for each attribute group associated with the user who provided the negative feedback, a point value is subtracted from the value of the Relevance_Weight field of the Group_Content_Rating entry having a Content_ID value matching the content item identifier and an Attribute_ID value matching the attribute identifier. If no entry in the Group_Content_Rating table exists for the Content_ID and Attribute_ID, a new entry is created as described above. The method then proceeds to optional step 912 at which the relevance weight value is logged.

Referring now to FIG. 10, an illustrative flow chart indicating a method for adjusting relevance weighting according to a second embodiment is shown. The method begins at block 1002, at which a content item is transmitted to the wireless handset 102. The content item may be one of a plurality of content items displayed on the handset. At decision diamond 1004, relevance weight adjustment module 112 determines whether the content item was selected. A user may select a content item by, for example, clicking a content item button such as content item button 206. If the content item is selected, the method proceeds to block 1006. At block 1006, for each attribute group associated with the user who provided the positive feedback, a point value y is added to the value of the Relevance_Weight field of the Group_Content_Rating entry having a Content_ID value matching the content item identifier and an Attribute_ID value matching the attribute identifier. Point value y may be any point value, for example, 2 points. If no entry in the Group_Content_Rating table exists for the Content_ID and Attribute_ID, a new entry is created as described above

The method proceeds to block 1008, at which the relevance weight adjustment module determines whether a content item has been transmitted by content delivery module 110 in excess of N times. N may be a number of times a content item is delivered from remote server 106 to wireless handset 102 or the number of times a content item is delivered to all wireless handsets capable of receiving the content item. For example, N may be 10 serves. If the content item has been transmitted in excess of N times, z points are subtracted from the value of the Relevance_Weight field of the Group_Content_Rating entry having a Content_ID value matching the content item for all users. Point value z may be any point value, for example, 5 points.

To adjust the Relevance_Weight field for all users, an attribute group having a predetermined Attribute_ID, for example, Attribute_ID 00000000, may be associated with every contact ID. For example, each time a new User_ID is created, User_Attribute_Group may receive an entry associating the new User_ID with Attribute_ID 00000000. The Relevance_Weight value may be adjusted for the Group_Content_Rating entry having a Content_ID value matching the delivered content item and Attribute_ID 00000000. In this manner, the relevance weight is adjusted for all users when a content item has been transmitted in excess of N times.

In some embodiments, the method then proceeds to optional step 1012 at which the relevance weight value is logged.

Referring now to FIG. 11, an illustrative flow chart indicating a method for adjusting relevance weighting according to a third embodiment is shown. The method begins at block 1102, at which a wireless handset transmits a location message to remote server 106. The location message comprises information about the location of the wireless handset. The location is identified by unique identifier Location_ID. At block 1104, a content item is received at the wireless handset 102. In some embodiments, the content item received is related to the location information transmitted in the location message. For example, the content item Content_ID is associated with a Location_ID in an entry in a database table such as the Location_Content_Rating table indicated at FIG. 7. The content item may be one of a plurality of content items displayed on the handset.

At decision diamond 1106, relevance weight adjustment module 112 determines whether positive feedback has been received from the wireless handset. If positive feedback has been received for a content item, the method proceeds to block 1108. At block 1108, a point value x is added to the value of the Relevance_Weight field of the Location_Content_Rating entry having a Content_ID value matching the content item identifier and an Location_ID value matching the location identifier. Point value x may be any point value, for example, 5 points.

If no entry exists in Location_Content_Rating table having an Attribute_ID matching an attribute of the user providing feedback and a Content_ID of the content item for which feedback was received, a new entry is created in Location_Content_Rating when the feedback is received. The new entry has a Content_ID matching the identifier of the content item for which feedback was received and a Location_ID matching the identifier of an attribute of the user providing feedback. When a new entry is created, the new entry may have a Relevance_Weight value that is a default value. Alternatively, the new entry may have a Relevance_Weight value that is the sum of a default value and the point value modification resulting from the user feedback.

In some embodiments, the method proceeds to optional block 1114, at which the adjusted relevance weight value is logged. For example, an entry in a database table such as Content_Rating_Time may be made.

If no positive feedback is received for a content item, the method proceeds to decision diamond 1110, at which it is determined whether negative feedback has been received for the content item. If negative feedback has been received, the method proceeds to block 1112. At block 1112, for the Location_ID matching the location identifier, a point value is subtracted from the value of the Relevance_Weight field of the Location_Content_Rating entry having a Content_ID value matching the content item identifier and Location_ID value matching the location identifier. If no entry in the Location_Content_Rating table exists for the Content_ID and Attribute_ID, a new entry is created as described above. The method then proceeds to optional step 1114 at which the relevance weight value is logged.

Referring now to FIG. 12, an illustrative flow chart indicating a method for adjusting relevance weighting according to a fourth embodiment is shown. The method begins at block 1202, at which a wireless handset transmits a location message to remote server 106. The location message comprises information about the location of the wireless handset. The location is identified by unique identifier Location_ID. At block 1204, a content item is received at the wireless handset 102. In some embodiments, the content item received is related to the location information transmitted in the location message. For example, the content item Content_ID is associated with a Location_ID in an entry in a database table such as the Location_Content_Rating table indicated at FIG. 7. The content item may be one of a plurality of content items displayed on the handset.

At decision diamond 1206, relevance weight adjustment module 112 determines whether the content item was selected. A user may select a content item by, for example, clicking a content item button such as content item button 206. If the content item is selected, the method proceeds to block 1208. At block 1208, for the Location_ID of the location reported by the wireless handset, a point value y is added to the value of the Relevance_Weight field of the Location_Content_Rating entry having a Content_ID value matching the content item identifier and an Attribute_ID value matching the attribute identifier. Point value y may be any point value, for example, 2 points. If no entry in the Location_Content_Rating table exists for the Content_ID and Attribute_ID, a new entry is created as described above

The method proceeds to block 1210, at which the relevance weight adjustment module determines whether a content item has been transmitted by content delivery module 110 in excess of N times. N may be a number of times a content item is delivered from remote server 106 to wireless handset 102 or the number of times a content item is delivered to all wireless handsets capable of receiving the content item. For example, N may be 10 serves during which the content item is delivered. If the content item has been transmitted in excess of N times, z points are subtracted from the value of the Relevance_Weight field of the Location_Content_Rating entry having a Content_ID value matching the content item for all users. Point value z may be any point value, for example, 5 points.

To adjust the Relevance_Weight field for all users, a location having a predetermined Location_ID, for example, Location_ID 00000000, may be associated with every contact ID. For example, each time a new User_ID is created, User_Attribute_Group may receive an entry associating the new User_ID with Location_ID 00000000. The Relevance_Weight value may be adjusted for the Location_Content_Rating entry having a Content_ID value matching the delivered content item and Location_ID 00000000. In this manner, the relevance weight is adjusted for all users when a content item has been transmitted in excess of N times.

In some embodiments, the method then proceeds to optional step 1214 at which the relevance weight value is logged.

It is to be understood that the detailed description of illustrative embodiments are provided for illustrative purposes. The scope of the claims is not limited to these specific embodiments or examples. Therefore, various process limitations, elements, details, and uses can differ from those just described, or be expanded on or implemented using technologies not yet commercially viable, and yet still be within the inventive concepts of the present disclosure. The scope of the invention is determined by the following claims and their legal equivalents.

Claims

1. A system for adjusting a relevance weight value for a content item, comprising: a network communicatively coupled to at least one access point;a wireless device corresponding to a first user identification;a remote server including a processor, the processor having at least a relevance engine database stored thereon, the relevance engine database including a plurality of user profiles, each user profile comprising a user identification, wherein the remote server is communicatively coupled to the network;each user identification associated with at least one attribute group, wherein the first user identification and a second user identification are associated with a first attribute group;a plurality of content items;an initial relevance weight value corresponding to an association between the first attribute group and each content item, wherein each content item includes a rank relative to the plurality of content items corresponding to the initial relevance weight value;a plurality of beacons communicatively coupled to the network, wherein each beacon of the plurality of beacons is configured to forward data to at least one beacon of the plurality of beacons, wherein each beacon broadcasts a beacon signal including a radio frequency and a beacon identifier;a beacon signal strength associated with each beacon signal, wherein the beacon signal strength is determined by the wireless device;a positioning module communicatively coupled to the remote server, the positioning module configured to receive a location message from the wireless device through the access point via the network, the location message including at least one beacon identifier and associated beacon signal strength, the positioning module further configured to determine a location of the wireless device, the location associated with the at least one beacon identifier and associated beacon signal strength;a content delivery module communicatively coupled to the remote server, the content delivery module configured to deliver a plurality of content items associated with the location of the wireless device via the network, wherein the plurality of content items are further associated with at least one attribute group associated with the first user identification, and wherein the at least one attribute group includes the first attribute group;the wireless device configured to display at least one of the plurality of content items;a user interface disposed on the wireless device, the user interface configured to: receive a feedback input associated with the at least one content item; andtransmit the feedback input to the content delivery module through the access point via the network;a review input disposed on the wireless device that corresponds to the feedback input; anda relevance weight adjustment module operatively coupled to the content delivery module, the relevance weight adjustment module configured to adjust the initial relevance weight value corresponding to the association between the at least one content item and the first attribute group based on the feedback input, wherein the relevance weight adjustment module further adjusts the rank of the at least one content item relative to the plurality of content items.

2. The system of claim 1, wherein the content delivery module is further configured to receive a positive review input from the wireless device that corresponds to a positive feedback input and a negative review input that corresponds to a negative feedback input; and wherein the relevance weight adjustment module is configured to perform one of a subtraction operation and an addition operation.

3. The system of claim 2, wherein the subtraction operation comprises subtracting a first point value from the relevance weight value associated with the at least one content item when a negative review is received for the at least one content item and the addition operation comprises adding a first point value to the relevance weight value associated with the at least one content item when a positive review is received for the at least one content item.

4. The system of claim 3, wherein the relevance weight adjustment module is further configured to perform: a second subtraction operation comprising subtracting a second point value from the relevance weight value associated with the at least one content item when a negative review is received for the at least one content item from a second wireless device corresponding to the second user identification; anda second addition operation comprising adding a second point value to the relevance weight value associated with the at least one content item when a negative review is received for the at least one content item from the second wireless device corresponding to the second user identification.

5. The system of claim 4, wherein the relevance weight adjustment module is further configured to perform a third subtraction operation comprising subtracting a third point value from the relevance weight value associated with the at least one content item when the at least one content item is delivered in excess of a predetermined number of times.

6. The system of claim 1, wherein the relevance weight adjustment module is further configured to log a relevance weight value in association with a time.

7. A system for adjusting a relevance weight value for a content item, comprising: a network communicatively coupled to at least one access point;a wireless device corresponding to a first user identification;a remote server including a processor, the processor having at least a relevance engine database stored thereon, the relevance engine database including a plurality of user profiles, each user profile comprising a user identification, wherein the remote server is communicatively coupled to the network;each user identification associated with at least one attribute group, wherein the first user identification and a second user identification are associated with a first attribute group;a plurality of content items, wherein each of the plurality of content items includes an associated location;an initial relevance weight value corresponding to an association between the first attribute group and each content item, wherein each content item includes a rank relative to the plurality of content items corresponding to the initial relevance weight value;a plurality of beacons communicatively coupled to the network, wherein each beacon of the plurality of beacons is configured to forward data to at least one beacon of the plurality of beacons, wherein each beacon broadcasts a beacon signal including a radio frequency and a beacon identifier;a beacon signal strength associated with each beacon signal, wherein the beacon signal strength is determined by the wireless device;a stationary display for displaying at least one of the plurality of content items, the stationary display having a stationary display location, wherein the stationary display is communicatively coupled to the network;a positioning module communicatively coupled to the remote server, the positioning module configured to receive a location message from the wireless device through the access point via the network, the location message including at least one beacon identifier and associated beacon signal strength, the positioning module further configured to determine a location of the wireless device, the location associated with the at least one beacon identifier and associated beacon signal strength;a content delivery module communicatively coupled to the remote server, the content delivery module configured to deliver a plurality of content items associated with the stationary display location via the network when the wireless device is at the stationary display location, wherein the plurality of content items are further associated with at least one attribute group associated with the first user identification, and wherein the at least one attribute group includes the first attribute group;a user interface disposed on the stationary display, the user interface configured to: receive a feedback input associated with at least one content item; andtransmit the feedback input to the content delivery module through the access point via the network;a review input disposed on the stationary display that corresponds to the feedback input; anda relevance weight adjustment modules operatively coupled to the content delivery module, the relevance weight adjustment module configured to adjust the initial relevance weight value corresponding to the association between the at least one content item and the first attribute group based on the feedback input, wherein the relevance weight adjustment module further adjusts the rank of the at least one content item relative to the plurality of content items.

8. The system of claim 7, wherein the content delivery module is further configured to receive a positive review input from the wireless device that corresponds to a positive feedback input and a negative review input that corresponds to a negative feedback input; and wherein the relevance weight adjustment module is configured to perform one of a subtraction operation and an addition operation.

9. The system of claim 8, wherein the subtraction operation comprises subtracting a first point value from the relevance weight value associated with the at least one content item when a negative review is received for the at least one content item and the addition operation comprises adding a first point value to the relevance weight value associated with the at least one content item when a positive review is received for the at least one content item.

10. The system of claim 9, wherein the relevance weight adjustment module is further configured to perform: a second subtraction operation comprising subtracting a second point value from the relevance weight value associated with the at least one content item when a negative review is received for the at least one content item from a second wireless device corresponding to the second user identification; anda second addition operation comprising adding a second point value to the relevance weight value associated with the at least one content item when a negative review is received for the at least one content item from the second wireless device corresponding to the second user identification.

11. The system of claim 10, wherein the relevance weight adjustment module is further configured to perform a third subtraction operation comprising subtracting a third point value from the relevance weight value associated with the at least one content item when the at least one content item is delivered in excess of a predetermined number of times.

12. The system of claim 7, wherein the relevance weight adjustment module is further configured to log a relevance weight value in association with a time.

13. A method for adjusting a relevance weight value for a content item, comprising: associating, by a remote server having a processor with at least a relevance engine database stored thereon, at least one attribute group with a first user identification and a second user identification;communicatively coupling the remote server to a network;communicatively coupling at least one access point to the network;associating, by the remote server, an initial relevance weight value with each content item of a plurality of content items, wherein each content item includes a rank relative to the plurality of content items, wherein the initial relevance weight value corresponds to an association between the at least one attribute group and each content item of the plurality of content items, and wherein the rank corresponds to the initial relevance weight value;communicatively coupling each of a plurality of beacons to the network, wherein each beacon of the plurality of beacons is configured to forward data to at least one of the plurality of beacons, and wherein each beacon of the plurality of beacons is associated with a unique beacon identifier;broadcasting, by each of the plurality of beacons, a beacon signal including a radio frequency and a beacon identifier;enabling a wireless device to determine a received beacon signal strength associated with each beacon signal detected by the wireless device, wherein the wireless device corresponds to the first user identification;receiving, by a positioning module configured to determine a location of the wireless device, at least one beacon identifier and associated beacon signal strength from the wireless device;delivering a subset of the plurality of content items to the wireless device through the access point via a network communicatively coupled to the remote server, wherein the subset of content items are each associated with the location of the wireless device, and wherein the subset of content items are further associated with the at least one attribute group associated with the first user identification;displaying at least one of the subset of content items on the wireless device;receiving with a user interface disposed on the wireless device a feedback input associated with at least one content item of the subset of content items; andtransmitting the feedback input to the content delivery module through the access point via the network, wherein the feedback input comprises a review input received from the wireless device; andperforming an adjustment operation with a relevance weight adjustment module operatively coupled to the content delivery module, wherein the adjustment operation comprises adjusting the initial relevance weight value corresponding to the association between the at least one content item and the at least one attribute group based on the feedback input, and adjusting the rank of the at least one content item relative to the plurality of content items.

14. The method of claim 13, wherein the adjustment operation further includes one of a subtraction operation and an addition operation, wherein the subtraction operation comprises subtracting a first point value from the relevance weight value associated with each attribute group associated with the user identification when a negative review is received for the at least one content item, and wherein the addition operation comprises adding a first point value to the relevance weight value associated with each attribute group associated with the user identification when a positive review is received for the at least one content item.

15. The method of claim 14, wherein the relevance weight adjustment module is further configured to perform: a second subtraction operation comprising subtracting a second point value from the relevance weight value associated with the at least one content item when a negative review is received; anda second addition operation comprising adding a second point value to the relevance weight value associated with the at least one content item when a negative review is received.

16. The method of claim 15, wherein the relevance weight adjustment module is further configured to perform a third subtraction operation comprising subtracting a third point value from the relevance weight value associated with the at least one content item when the at least one content item is delivered in excess of a predetermined number of times.

17. The method of claim 13, wherein the relevance weight adjustment module is further configured to log a relevance weight value in association with a time.