ANONYMOUS PERSONALIZED RECOMMENDATION METHOD
    1.
    发明申请
    ANONYMOUS PERSONALIZED RECOMMENDATION METHOD 有权
    独立的个性化推荐方法

    公开(公告)号:US20130312108A1

    公开(公告)日:2013-11-21

    申请号:US13948085

    申请日:2013-07-22

    Applicant: Google Inc.

    CPC classification number: G06F21/6254 G06F17/30867

    Abstract: A computer-implemented method for an anonymous personalized recommendation is provided. The method includes receiving select server fingerprints selected from server fingerprints based on predetermined metrics. The server fingerprints correspond to a plurality of public entities and each server fingerprint includes encoded information about a corresponding public entity. The method also includes generating a user fingerprint based on user information associated with a user, the user fingerprint comprising encoded user information. The method further includes comparing the user fingerprint with the select server fingerprints to select a server fingerprint for recommendation, generating a recommendation of a public entity corresponding to the server fingerprint for recommendation, and displaying the recommendation. Systems and machine-readable media are also provided.

    Abstract translation: 提供了一种用于匿名个性化推荐的计算机实现方法。 该方法包括基于预定度量来接收从服务器指纹中选择的选择服务器指纹。 服务器指纹对应于多个公共实体,并且每个服务器指纹包括关于相应公共实体的编码信息。 所述方法还包括基于与用户相关联的用户信息生成用户指纹,所述用户指纹包括编码的用户信息。 该方法还包括将用户指纹与选择服务器指纹进行比较,以选择服务器指纹进行推荐,生成与服务器指纹对应的公共实体的推荐,并显示推荐。 还提供系统和机器可读介质。

    SEARCH QUERY REFINEMENT INTERFACE
    2.
    发明申请
    SEARCH QUERY REFINEMENT INTERFACE 审中-公开
    搜索查询精简界面

    公开(公告)号:US20160048567A1

    公开(公告)日:2016-02-18

    申请号:US14040415

    申请日:2013-09-27

    Applicant: Google Inc.

    CPC classification number: G06F16/3325 G06F16/951

    Abstract: Methods for providing an interface to refine a search query are provided. In one aspect, a method includes receiving a submission of a first search query in an input field, and providing, for display, the first search query in the input field with first search results for the search query, the first search results including at least one subset category of search results. The method also includes receiving a selection of the at least one subset category of the first search results, and providing, for display, an indicator of the selected at least one subset category in the input field with second search results for the selected at least one subset category. Systems and machine-readable media are also provided.

    Abstract translation: 提供了提供用于细化搜索查询的界面的方法。 一方面,一种方法包括在输入字段中接收第一搜索查询的提交,并且为输入字段中的第一搜索查询提供搜索查询的第一搜索结果,提供第一搜索结果,第一搜索结果至少包括 搜索结果的一个子类别。 所述方法还包括接收所述第一搜索结果的所述至少一个子集类别的选择,并且为所述输入字段中的所选择的至少一个子集类别的指示符提供所选择的至少一个的第二搜索结果 子类别。 还提供系统和机器可读介质。

    Anonymous personalized recommendation method
    3.
    发明授权
    Anonymous personalized recommendation method 有权
    匿名个性化推荐方法

    公开(公告)号:US08745049B2

    公开(公告)日:2014-06-03

    申请号:US13948085

    申请日:2013-07-22

    Applicant: Google Inc.

    CPC classification number: G06F21/6254 G06F17/30867

    Abstract: A computer-implemented method for an anonymous personalized recommendation is provided. The method includes receiving select server fingerprints selected from server fingerprints based on predetermined metrics. The server fingerprints correspond to a plurality of public entities and each server fingerprint includes encoded information about a corresponding public entity. The method also includes generating a user fingerprint based on user information associated with a user, the user fingerprint comprising encoded user information. The method further includes comparing the user fingerprint with the select server fingerprints to select a server fingerprint for recommendation, generating a recommendation of a public entity corresponding to the server fingerprint for recommendation, and displaying the recommendation. Systems and machine-readable media are also provided.

    Abstract translation: 提供了一种用于匿名个性化推荐的计算机实现方法。 该方法包括基于预定度量来接收从服务器指纹中选择的选择服务器指纹。 服务器指纹对应于多个公共实体,并且每个服务器指纹包括关于相应公共实体的编码信息。 所述方法还包括基于与用户相关联的用户信息生成用户指纹,所述用户指纹包括编码的用户信息。 该方法还包括将用户指纹与选择服务器指纹进行比较,以选择服务器指纹进行推荐,生成与服务器指纹相对应的公共实体的推荐,并显示推荐。 还提供系统和机器可读介质。

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