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    • 2. 发明申请
    • SEARCHING FOR IDEOGRAMS IN AN ONLINE SOCIAL NETWORK
    • 在网络社会网络中寻求理想
    • US20160179967A1
    • 2016-06-23
    • US14576926
    • 2014-12-19
    • Facebook, Inc.
    • Brian Pai-Han SaStephen Moore DavisNikola VilimonovicJireh Yiwei TanAaron Payne Goldsmid
    • G06F17/30
    • G06F17/30867G06F17/30687
    • In one embodiment, a method includes receiving a query inputted at a mobile device of a user of an online social network. The query may include n-grams (e.g., words, emoticons, and punctuation marks), and may be, for example, a message to another user or search terms. N-grams may be mapped to tags, which may, in turn, be mapped to ideograms (i.e., stickers). One or more ideograms may be identified based on the one or more ideogram being associated with tags matching n-grams of the query. For each of the identified ideograms, a probability quantifying how likely the user is to select the ideogram is calculated based on how frequently the ideogram has been used. A set of ideogram suggestions, including one or more of the identified ideograms, is generated based on the probabilities and sent to the user's mobile device for display to the user.
    • 在一个实施例中,一种方法包括接收在在线社交网络的用户的移动设备处输入的查询。 该查询可以包括n克(例如,单词,表情符号和标点符号),并且可以是例如到另一用户的消息或搜索词。 标签可以映射到标签,标签又可以映射到表意文字(即贴纸)。 可以基于与匹配查询的n-gram的标签相关联的一个或多个表意文字来识别一个或多个表意文字。 对于每个识别的表意文字,根据表意文字被使用的频率来计算用户选择表意文字的可能性的概率。 基于概率产生一组表意符号建议,包括一个或多个识别的表意文字,并发送给用户的移动设备以显示给用户。
    • 4. 发明申请
    • PREDICTING INTERACTIONS OF SOCIAL NETWORKING SYSTEM USERS WITH APPLICATIONS
    • 社会网络系统用户与应用程序的预测交互
    • US20150356570A1
    • 2015-12-10
    • US14297053
    • 2014-06-05
    • Facebook, Inc.
    • Aaron Payne GoldsmidGeorge LeeVishu GuptaDaniel Richard MorrisDavid Joseph EngelbergBrendan MartenTina Marie CardaciNiket Biswas
    • G06Q30/02G06Q50/00
    • G06Q30/0201G06Q30/0249G06Q30/0269G06Q50/01
    • A social networking system provides instructions to third-party application developers for inclusion in applications. When executed, the instructions communicate information from an application to the social networking system describing user interactions with the application. Based on received information describing a user's interaction with an application, the social networking system determines likelihoods of the user performing various types interactions with applications and classifies the user based on the determined likelihoods. A user's interactions with additional applications similar to an application may be used to determine the likelihoods of the user performing different types of interactions with the application. Classifications associated with users may be used as targeting criteria for advertisements, allowing advertisers to target advertisements to users having a threshold likelihood of performing certain types of interactions with an application.
    • 社交网络系统向第三方应用程序开发人员提供包含在应用程序中的指令。 当执行时,指令将信息从应用程序传送到描述用户与应用程序的交互的社交网络系统。 基于接收到的描述用户与应用的交互的信息,社交网络系统确定用户执行与应用的各种类型的交互的可能性,并且基于所确定的可能性对用户进行分类。 可以使用用户与附加应用程序类似于应用程序的交互来确定用户执行与应用的不同类型的交互的可能性。 与用户相关联的分类可以用作广告的定向标准,允许广告主将广告定位到具有执行与应用的某些类型的交互的阈值可能性的用户。