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:
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:
Systems and methods for using a digital image in a social networking system may use digital image to identify a physical entity. Information about the identified physical entity may be provided to an electronic display for review by a user. The user may perform a social networking action with the identified physical entity or a website associated with the physical entity. Social networking actions may include rating or commenting about the physical entity or the associated website via a social networking system. Social networking actions may also include sharing information about the physical entity or associated website with another user via the social networking system.
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, systems, and apparatus, including computer program products, in which an indication of a telephone call being placed from a calling number is received, and a determination is made of an audio advertisement to play based on the calling number. The audio advertisement is played based on the determination.
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 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 contact affinity. Contacts with greater contact affinity may be more influential, and ads that are recommended by such contacts may have a higher click-through rate. 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, social network interactions, e-mail/instant messaging communications, and phone logs and contact lists.
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:
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:
Systems and methods for adaptation of content to mobile devices. A mobile device type can be identified based upon a request originating from the mobile device. Content can also be identified based upon the request. The content can be converted based upon the mobile device type and the converted content can be served to the mobile device.