Abstract: Methods, apparatuses, and computer-readable media for serving detailed annotations is disclosed. When a user converts in response to an advertisement, data about the conversion is stored in one or more logs. A batch handler uses the one or more logs to create and enter a record regarding the conversion into a conversion table. Upon receiving an ad request from a client, ads scorer may construct a detailed annotation using the conversion table and a social graph table, and ads server may return an ad and the detailed annotation. Ads server may also return an ad plus an iframe. The iframe requests a detailed annotation from a conversion management server. The conversion management server constructs and returns the detailed annotation.

Abstract: Apparatus and method for providing unique device identification values for a network accessible device. In accordance with some embodiments, a unique device identifier value is generated in response to a data exchange operation with a network accessible device. The identifier value is subsequently transmitted by the device as a unique device identifier value in conjunction with the transmitting of a request for a subsequent data exchange operation with the device.

Abstract: When a contact of a user tags a location, a posted comment, or a shared item, the location tag may be used to boost ad scores and/or annotate content such as advertisements. The location tag may be used to annotate ads to indicate that the contact has tagged a location associated with the ad. Persons other than contacts of the user may also tag and have their location tags be counted in annotations as well. Advertisers may specify locations that are associated with their ads. Location tags may be stored in a table, and used by an ads server to boost scores of ads that have been location tagged. An annotation server may also use location tags to construct annotations that are sent to a client device operated by the user. The annotations may be based on one or more location tags made by one or more users.

Abstract: Systems and methods for setting cookies across applications on a device include receiving a first cookie indicating authorization of a first application on the device to use an online account. A second cookie indicating that the first application is authorized to use the online account may be set in a second application on the device.

Abstract: Methods and systems are provided for allowing a user to categorize, organize, and/or visualize content recommendations made by the user. Various interactive controls are made available to a user who recommends an item of content, where the controls are designed to allow the user to assign one or more attributes (e.g., characteristics, categories, labels, properties, etc.) to the recommendation. A user can also organize content recommendations into one or more categories that can be customized by the user according to subject-matter, content format, recommendation strength, and the like. The user is also provided with the ability to view his or her content recommendations arranged in various graphical representations.

Abstract: Systems and methods for setting cookies across applications on a device include receiving a first cookie indicating authorization of a first application on the device to use an online account. A second cookie indicating that the first application is authorized to use the online account may be set in a second application on the device.

Abstract: Methods and systems are provided for presenting a user with a recommendation intent query in response to the user indicating that he or she recommends content. The recommendation intent query allows a user to designate (e.g., select, indicate, identify, choose, etc.) one or more components, subjects, characteristics, properties, etc., of the content to which the user's recommendation should be attributed. Therefore, the user's intent with regard to the recommendation can be determined, and a more detailed social annotation about the recommendation can be provided to other users in a social network. The recommendation intent query is in the form of a user interface containing a list of components, subjects, and characteristics of the recommended content, one or more of which may be designated by the user as being the intended target(s) of his or her recommendation.

Abstract: Methods, apparatuses, and computer-readable media for serving annotations are disclosed. When a contact of a user recommends an ad, the score of the ad may be boosted in an ad auction. The amount of boosting depends on location proximity and/or contact affinity. For location proximity, the closer the geographic location of the recommendation to the user, the greater the boost to the ad score. For contact affinity, the greater the affinity between the user and contact, the greater the boost to the ad score. Affinity may be measured by a weight value, which is determined by, for example, the frequency of calls, text, or views of the contact's information by the user.

Abstract: Methods, apparatuses, and computer-readable media for obtaining a limited ID cookie for ad targeting are disclosed. A client requests a limited ID cookie from a cookie making module (CMM), which sends a personal cookie to a verification module for verification. After verification, verification module sends a user ID with user information to CMM. CMM creates the limited ID cookie, and the limited ID cookie is sent to the client. The limited ID cookie is sent to an ads server which utilizes the limited ID cookie to target ads towards the user.

Abstract: Methods and systems are provided for allowing users to recommend advertisements displayed in a third-party application running on a user device while not granting the third-party application privileges to send such recommendations on behalf of the user. A social network application installed on the user device, and separate from the third-party application, acts as a proxy for advertisement recommendation requests (e.g., indications that a user wishes to recommend an advertisement displayed), and a user is required to confirm all such recommendation actions. In this manner, a third-party application (e.g., a “malicious third-party application) cannot send advertisement recommendation requests, and/or requests to undo such recommendations, on its own as if it were the user.

Abstract: Systems and methods for providing an advertisement based on an action directed by a first user to a second user including receiving, using one or more computing devices, a request from a first user directed to a second user, wherein the request comprises a second user identifier and an action tag; generating a suggested advertisement based at least on data that is part of the request; identifying the request from the first user to determine whether the suggested advertisement matches the request; selecting the matching advertisement as a candidate advertisement for presentation to the second user; and providing a candidate advertisement to the second user.

Abstract: Methods and systems are provided for determining the intent of a recommendation made by a user of a mobile application where the application includes a plurality of separable components, any one or more of which the recommendation can apply to. An application in which a user recommendation control is provided for presentation to a user also includes a tag indicating how a recommendation of the application should be interpreted with respect to the components included therein. The tag can be set by the application developer and can be in the form of text (e.g., a keyword or term) or a uniform resource locator (URL). Where a tag references multiple components of an application, a recommending user can be presented with a recommendation intent query. The recommendation intent query allows a user to designate one or more components of the application to which the user's recommendation should be attributed.

Abstract: Methods, apparatuses, and computer-readable media for obtaining a limited ID cookie for ad targeting are disclosed. A client requests a limited ID cookie from a cookie making module (CMM), which sends a personal cookie to a verification module for verification. After verification, verification module sends a user ID with user information to CMM. CMM creates the limited ID cookie, and the limited ID cookie is sent to the client. The limited ID cookie is sent to an ads server which utilizes the limited ID cookie to target ads towards the user.

Abstract: Methods and systems are provided for allowing users to recommend advertisements displayed in a third-party application running on a user device while not granting the third-party application privileges to send such recommendations on behalf of the user. A social network application installed on the user device, and separate from the third-party application, acts as a proxy for advertisement recommendation requests (e.g., indications that a user wishes to recommend an advertisement displayed), and a user is required to confirm all such recommendation actions. In this manner, a third-party application (e.g., a “malicious third-party application) cannot send advertisement recommendation requests, and/or requests to undo such recommendations, on its own as if it were the user.

Abstract: Methods and systems are provided for allowing users to recommend advertisements displayed in a third-party application running on a user device while not granting the third-party application privileges to send such recommendations on behalf of the user. A social network application installed on the user device, and separate from the third-party application, acts as a proxy for advertisement recommendation requests (e.g., indications that a user wishes to recommend an advertisement displayed), and a user is required to confirm all such recommendation actions. In this manner, a third-party application (e.g., a “malicious third-party application) cannot send advertisement recommendation requests, and/or requests to undo such recommendations, on its own as if it were the user.

Abstract: Methods, apparatuses, and computer-readable media for obtaining a limited ID cookie for ad targeting are disclosed. A client requests a limited ID cookie from a cookie making module (CMM), which sends a personal cookie to a verification module for verification. After verification, verification module sends a user ID with user information to CMM. CMM creates the limited ID cookie, and the limited ID cookie is sent to the client. The limited ID cookie is sent to an ads server which utilizes the limited ID cookie to target ads towards the user.

Abstract: Methods and systems are provided for determining the intent of a recommendation made by a user of a mobile application where the application includes a plurality of separable components, any one or more of which the recommendation can apply to. An application in which a user recommendation control is provided for presentation to a user also includes a tag indicating how a recommendation of the application should be interpreted with respect to the components included therein. The tag can be set by the application developer and can be in the form of text (e.g., a keyword or term) or a uniform resource locator (URL). Where a tag references multiple components of an application, a recommending user can be presented with a recommendation intent query. The recommendation intent query allows a user to designate one or more components of the application to which the user's recommendation should be attributed.