METHODS AND SYSTEMS FOR DETERMINING USE AND CONTENT OF PYMK BASED ON VALUE MODEL
    2.
    发明申请
    METHODS AND SYSTEMS FOR DETERMINING USE AND CONTENT OF PYMK BASED ON VALUE MODEL 审中-公开
    用于确定基于价值模型的PYMK的使用和内容的方法和系统

    公开(公告)号:US20140114774A1

    公开(公告)日:2014-04-24

    申请号:US13659695

    申请日:2012-10-24

    Applicant: Facebook, Inc.

    Abstract: Techniques introduced here include a system and method for determining whether to provide a user of a social networking system with candidate users (i.e., potential contacts) with whom the user does not already have any connections with. In some embodiments, the system generates a set of candidate users based on a value (e.g., to the social networking system) associated with each potential connection formed between the user and the set of candidate users. In one or more embodiments, the system ranks the candidate users based on their connection-value to the social networking system and provides the ranked candidate users as suggested new connections to the user.

    Abstract translation: 这里介绍的技术包括用于确定是否向社交网络系统的用户提供与用户尚未具有任何连接的候选用户(即,潜在联系人)的系统和方法。 在一些实施例中,系统基于与用户和一组候选用户之间形成的每个潜在连接相关联的值(例如,到社交网络系统)生成一组候选用户。 在一个或多个实施例中,系统基于其与社交网络系统的连接值对候选用户进行排名,并且将所排名的候选用户作为建议的新连接提供给用户。

    Blending search results on online social networks

    公开(公告)号:US10409868B2

    公开(公告)日:2019-09-10

    申请号:US15698287

    申请日:2017-09-07

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving a search query, searching a multiple verticals to identify multiple of sets of objects in each respective vertical that match the search query, wherein each vertical stores objects of a particular object-type, generating a set of blended search results by blending the sets of identified objects from each vertical, determining that greater than a threshold proportion of objects in the set of blended search results are from a first vertical, adding at least one object from a second vertical to the set of blended search results in responsive to determining that greater than the threshold proportion of objects in the blended search results are from the first vertical, wherein the second vertical is different from the first vertical; and sending, responsive to the search query, the set of blended search results for display.

    Keyword Bidding based on Search Traffic on Online Social Networks

    公开(公告)号:US20180165717A1

    公开(公告)日:2018-06-14

    申请号:US15376467

    申请日:2016-12-12

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0275 G06F16/951 G06Q30/0256 G06Q50/01

    Abstract: In one embodiment, a method includes accessing search traffic data internal to a social-networking system, the internal search traffic data comprising historical search volume for search terms; identifying qualifying keywords based on the internal search traffic data, wherein the internal search traffic data for each qualifying keyword satisfies one or more of the following criteria: (1) a current search volume for the qualifying keyword is less than an upper threshold volume; (2) an overall rate of change in search volume during an overall timeframe is greater than a first threshold rate of change; and (3) a current rate of change in search volume during a current timeframe is greater than a second threshold rate of change, wherein the overall timeframe begins at a time preceding the current timeframe; and sending instructions for placing a bid on each qualifying keyword to a third-party system associated with an external search engine.

    Blending Search Results on Online Social Networks

    公开(公告)号:US20170371966A1

    公开(公告)日:2017-12-28

    申请号:US15698287

    申请日:2017-09-07

    Applicant: Facebook, Inc.

    CPC classification number: G06F16/951 G06Q30/0251 G06Q50/01

    Abstract: In one embodiment, a method includes receiving a search query, searching a multiple verticals to identify multiple of sets of objects in each respective vertical that match the search query, wherein each vertical stores objects of a particular object-type, generating a set of blended search results by blending the sets of identified objects from each vertical, determining that greater than a threshold proportion of objects in the set of blended search results are from a first vertical, adding at least one object from a second vertical to the set of blended search results in responsive to determining that greater than the threshold proportion of objects in the blended search results are from the first vertical, wherein the second vertical is different from the first vertical; and sending, responsive to the search query, the set of blended search results for display.

    Blending search results on online social networks

    公开(公告)号:US09792364B2

    公开(公告)日:2017-10-17

    申请号:US14454826

    申请日:2014-08-08

    Applicant: Facebook, Inc.

    CPC classification number: G06F17/30864 G06Q50/01

    Abstract: In one embodiment, a method includes receiving a search query from a user of an online social network and searching multiple verticals to identify multiple sets of objects in each vertical, respectively, that match the search query, and wherein each vertical stores one or more objects associated with the online social network. The method also includes ranking, for each set of identified objects from a vertical, each identified object in the set of identified objects. The method further includes blending the multiple sets of identified objects from each vertical to form a set of blended search results that includes a threshold number of identified objects, the blending including an iterative process performed at least the threshold number of iterations. Each iteration of the iterative blending process includes determining a blender score for each top-ranked identified object in each set of identified objects.

    Option emphasization for call-to-action interfaces

    公开(公告)号:US10564808B2

    公开(公告)日:2020-02-18

    申请号:US15635005

    申请日:2017-06-27

    Applicant: Facebook, Inc.

    Abstract: The present disclosure describes techniques for configuring a call-to-action (CTA) interface for a particular user of a social networking system (SNS) by emphasizing an option included with the CTA interface based on a machine learning system. The machine learning system may be used to determine to emphasize a first user-selectable option instead of a second user-selectable option (sometimes referred to as an emphasization determination). The emphasization determination may indicate a prediction of an intent of a user to select the first user-selectable option (e.g., an intent for the user to register an account with the SNS or to login to an account of the SNS). Based on the emphasization determination, an interface (e.g., a graphical user interface) may be configured to emphasize the first user-selectable option, and the interface may be sent to a user device for presentation to the user.

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