RANKING SIGNALS FOR SPARSE CORPORA
    1.
    发明申请
    RANKING SIGNALS FOR SPARSE CORPORA 有权
    SPARSE CORPORA排名信号

    公开(公告)号:US20140143222A1

    公开(公告)日:2014-05-22

    申请号:US13679015

    申请日:2012-11-16

    Applicant: Google Inc.

    CPC classification number: G06F17/3053 G06F17/30646 G06F17/30864

    Abstract: A method for retrieving information includes receiving a search query within an information corpus. Search results for the search query may be identified. A score for each of a plurality of data items identified in the search results may be generated. The score for a corresponding one of the plurality of data items may be based on a score dependent on the search query within the information corpus. The score may be also based on at least one score independent of the search query. The at least one score independent of the search query may include a ranking signal associated with a World Wide Web (WWW) search of the corresponding one of the plurality of data items using a second information corpus. The search results may be ranked based on the generated score.

    Abstract translation: 用于检索信息的方法包括在信息语料库内接收搜索查询。 可以识别搜索查询的搜索结果。 可以生成在搜索结果中识别的多个数据项中的每一个的得分。 多个数据项中对应的一个数据项的分数可以基于取决于信息语料库内的搜索查询的得分。 该分数也可以基于独立于搜索查询的至少一个得分。 独立于搜索查询的至少一个得分可以包括使用第二信息语料库与多个数据项中的相应一个数据项的万维网(WWW)搜索相关联的排名信号。 搜索结果可以基于生成的得分进行排名。

    Using hierarchical scoring for disambiguation in an information retrieval system

    公开(公告)号:US09626435B2

    公开(公告)日:2017-04-18

    申请号:US13679033

    申请日:2012-11-16

    Applicant: Google Inc.

    CPC classification number: G06F17/30749

    Abstract: A method for retrieving information may include receiving, in a non-World Wide Web (WWW) corpus, a search query for a media author. Search results for the search query may be identified within the non-WWW corpus. A score for each of a plurality of media authors identified in the search results may be generated. The score for a corresponding one of the plurality of media authors may be based on a combined media popularity score for a plurality of media items authored by the corresponding one of the plurality of media authors. The search results may be ranked based on the generated score for each of the plurality of media authors.

    EXPLANATIONS FOR PERSONALIZED RECOMMENDATIONS
    3.
    发明申请
    EXPLANATIONS FOR PERSONALIZED RECOMMENDATIONS 审中-公开
    个人推荐说明

    公开(公告)号:US20140316930A1

    公开(公告)日:2014-10-23

    申请号:US13868566

    申请日:2013-04-23

    Applicant: GOOGLE, INC.

    CPC classification number: G06Q30/0631 G06F16/9535

    Abstract: Generating and selecting recommendation explanations for personalized recommendations may include retrieving in response to at least one recommendation query, a document from a corpora of available documents for consumption by a user. The at least one recommendation query may be associated with a corresponding plurality of candidate recommendation explanations. The plurality of recommendation explanations for the document may be ranked based on popularity of at least one of the plurality of recommendation explanations when previously provided to the user and/or popularity of the document among a plurality of users under each of the plurality of recommendation explanations. The popularity of at least one of the plurality of recommendation explanations previously provided to the user may be based on document engagement history associated with the user when the at least one of the plurality of recommendation explanations were previously provided to the user.

    Abstract translation: 生成和选择个性化建议的推荐说明可以包括响应于至少一个推荐查询检索来自用户消费的可用文档的语料库的文档。 该至少一个推荐查询可以与相应的多个候选推荐说明相关联。 基于以前在多个推荐说明中的每一个的多个用户中预先提供给用户和/或多个用户中的文档的受欢迎程度的多个推荐说明中的至少一个的推荐说明,可以对文档的多个推荐说明进行排名 。 先前提供给用户的多个推荐说明中的至少一个的普及可以基于当多个推荐说明中的至少一个先前提供给用户时与用户相关联的文档参与历史。

    REFERENCED ACCESS CONTROL LIST
    4.
    发明申请

    公开(公告)号:US20180307853A1

    公开(公告)日:2018-10-25

    申请号:US15493841

    申请日:2017-04-21

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for referenced access control lists. In one aspect, a method includes accessing an object hierarchy for a plurality of objects, each object being representative of one of a storage location or a file. The object hierarchy includes for each object, a respective node, for each object that is a parent object having a child object, a directed edge connecting the node representing the parent object. In addition, for each object, including metadata that includes an access control list identifier that identifies an access control list for the object and that is owned by an access control list root object. The method including receiving updates to an access control list for particular objects, generating a new access control list, and storing the new access control list identifier in metadata for each object that descends from the particular object.

    EXPLANATIONS FOR PERSONALIZED RECOMMENDATIONS

    公开(公告)号:US20170161818A1

    公开(公告)日:2017-06-08

    申请号:US15438809

    申请日:2017-02-22

    Applicant: Google Inc.

    CPC classification number: G06Q30/0631 G06F16/9535

    Abstract: Generating and selecting recommendation explanations for personalized recommendations may include retrieving in response to at least one recommendation query, a document from a corpora of available documents for consumption by a user. The at least one recommendation query may be associated with a corresponding plurality of candidate recommendation explanations. The plurality of recommendation explanations for the document may be ranked based on popularity of at least one of the plurality of recommendation explanations when previously provided to the user and/or popularity of the document among a plurality of users under each of the plurality of recommendation explanations. The popularity of at least one of the plurality of recommendation explanations previously provided to the user may be based on document engagement history associated with the user when the at least one of the plurality of recommendation explanations were previously provided to the user.

    PERSONALIZED DIGITAL CONTENT SEARCH
    6.
    发明申请
    PERSONALIZED DIGITAL CONTENT SEARCH 审中-公开
    个性化数字内容搜索

    公开(公告)号:US20140317099A1

    公开(公告)日:2014-10-23

    申请号:US13868533

    申请日:2013-04-23

    Applicant: GOOGLE INC.

    CPC classification number: G06F16/24578 G06F16/9535

    Abstract: Systems and method are disclosed personalizing search results. An example method for personalizing search results may include receiving from a user, a search query for a media item, identifying search results for the search query, and generating a score for each of a plurality of media items identified in the search results. The score for a corresponding one of the plurality of media items may be based on the search query and one or both of a personalized query independent score and/or a personalized query dependent score. The at least one personalized query independent and query dependent scores may be based on at least one media preference signal associated with the user. The search results may be ranked based on the generated score for each of the plurality of media items.

    Abstract translation: 披露了个性化搜索结果的系统和方法。 用于个性化搜索结果的示例方法可以包括从用户接收媒体项的搜索查询,识别搜索查询的搜索结果,以及为搜索结果中标识的多个媒体项中的每一个生成分数。 多个媒体项目中对应的一个媒体项目的分数可以基于搜索查询以及个性化查询独立分数和/或个性化查询依赖分数中的一个或两个。 所述至少一个个性化查询独立和查询相关分数可以基于与用户相关联的至少一个媒体偏好信号。 可以基于多个媒体项目中的每一个的生成得分来对搜索结果进行排名。

    Ranking signals for sparse corpora

    公开(公告)号:US09779140B2

    公开(公告)日:2017-10-03

    申请号:US13679015

    申请日:2012-11-16

    Applicant: Google Inc.

    CPC classification number: G06F17/3053 G06F17/30646 G06F17/30864

    Abstract: A method for retrieving information includes receiving a search query within an information corpus. Search results for the search query may be identified. A score for each of a plurality of data items identified in the search results may be generated. The score for a corresponding one of the plurality of data items may be based on a score dependent on the search query within the information corpus. The score may be also based on at least one score independent of the search query. The at least one score independent of the search query may include a ranking signal associated with a World Wide Web (WWW) search of the corresponding one of the plurality of data items using a second information corpus. The search results may be ranked based on the generated score.

    LIVE RECOMMENDATION GENERATION
    8.
    发明申请
    LIVE RECOMMENDATION GENERATION 审中-公开
    实际推荐产生

    公开(公告)号:US20140317105A1

    公开(公告)日:2014-10-23

    申请号:US13868341

    申请日:2013-04-23

    Applicant: Google Inc.

    CPC classification number: G06F16/93 G06F16/9535

    Abstract: A system and/or method is provided for using a scatter gather information retrieval system for live recommendation generation. The method may include retrieving user information classified in a plurality of categories. For at least one of the plurality of categories, a document recommendation query may be generated based on the user information classified in a corresponding one of the plurality of categories. For each generated recommendation query, a plurality of documents satisfying the recommendation query may be retrieved from a corpus of documents. The corpus may classify a plurality of documents of a determined type available for consumption by the user. Each retrieved plurality of documents may be ranked to generate a final list of recommendations for the user. Each of the plurality of documents may include identifying information for a book, a song, a video, a movie, a music album, an application, and/or a TV show.

    Abstract translation: 提供了一种使用分散收集信息检索系统进行实时推荐生成的系统和/或方法。 该方法可以包括检索分类为多个类别的用户信息。 对于多个类别中的至少一个,可以基于分类为多个类别中的相应一个类别的用户信息来生成文档推荐查询。 对于每个生成的推荐查询,可以从文档语料库检索满足推荐查询的多个文档。 语料库可以分类可供用户消费的确定类型的多个文档。 可以对每个检索到的多个文档进行排名以产生用户的最终建议列表。 多个文档中的每一个可以包括用于书,歌曲,视频,电影,音乐专辑,应用和/或电视节目的识别信息。

    USING HIERARCHICAL SCORING FOR DISAMBIGUATION IN AN INFORMATION RETRIEVAL SYSTEM
    9.
    发明申请
    USING HIERARCHICAL SCORING FOR DISAMBIGUATION IN AN INFORMATION RETRIEVAL SYSTEM 有权
    在信息检索系统中使用分层划分进行排序

    公开(公告)号:US20140143238A1

    公开(公告)日:2014-05-22

    申请号:US13679033

    申请日:2012-11-16

    Applicant: Google Inc.

    CPC classification number: G06F17/30749

    Abstract: A method for retrieving information may include receiving, in a non-World Wide Web (WWW) corpus, a search query for a media author. Search results for the search query may be identified within the non-WWW corpus. A score for each of a plurality of media authors identified in the search results may be generated. The score for a corresponding one of the plurality of media authors may be based on a combined media popularity score for a plurality of media items authored by the corresponding one of the plurality of media authors. The search results may be ranked based on the generated score for each of the plurality of media authors.

    Abstract translation: 用于检索信息的方法可以包括在非万维网(WWW)语料库中接收媒体作者的搜索查询。 可以在非WWW语料库内识别搜索查询的搜索结果。 可以生成在搜索结果中识别的多个媒体作者中的每一个的得分。 多个媒体作者中对应的一个媒体作者的得分可以基于由多个媒体作者中相应的一个媒体作者创作的多个媒体项的组合媒体流行度得分。 可以基于多个媒体作者中的每一个的生成得分来对搜索结果进行排名。

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