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.

Inventor： Ankit Jain ,  Abhinav Khandelwal

IPC: G06F17/30

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.

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.

Inventor： Ankit Jain ,  Abhinav Khandelwal

IPC: G06Q30/06

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。

公开(公告)号：US20140280079A1

公开(公告)日：2014-09-18

申请号：US13800915

申请日：2013-03-13

Applicant: Google Inc.

Inventor： Ankit Jain ,  Anna Patterson

IPC: G06F17/30

CPC classification number: G06F16/24578 ,  G06F16/9535

Abstract: A server system, which manages distribution or download of content, may be configured to distribute content lists generated by users. In this regard, the server system may allow users to follow other users and/or particular individual content lists that may be made available by the server system. Accordingly, users of the server system may be allowed to become list producers and/or list followers. Distribution of the content lists may be based on one or more of: an indication by a user of a selection to follow another user, a match between user search criteria specified by the user and at least some of the data associated with the other user, a match between list search criteria specified by the user and at least some of the data of distributed list(s), and a match between the particular user recommendation ranking and ranking criteria specified by the user.

Abstract translation: 管理内容的分发或下载的服务器系统可以被配置为分发用户生成的内容列表。 在这方面，服务器系统可以允许用户跟随服务器系统可以使其可用的其他用户和/或特定的单独的内容列表。 因此，可以允许服务器系统的用户成为列表生成器和/或列表关注者。 内容列表的分发可以基于以下中的一个或多个：用户指示跟随另一用户的选择，用户指定的用户搜索标准与与另一用户相关联的至少一些数据之间的匹配， 由用户指定的列表搜索条件与分布式列表的至少一些数据之间的匹配以及用户指定的特定用户推荐排名和排名标准之间的匹配。

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.

Inventor： Ankit Jain ,  Abhinav Khandelwal

IPC: G06Q30/06

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.

公开(公告)号：US09405803B2

公开(公告)日：2016-08-02

申请号：US13868333

申请日：2013-04-23

Applicant: Google, Inc.

Inventor： Ankit Jain

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30648 ,  G06F17/30867

Abstract: A method for retrieving information may include receiving a search query within an information retrieval system. Search results responsive to the search query may be identified from a first information corpus and a second information corpus. Search results responsive to the search query may be identified from a third information corpus. A ranking signal associated with the first information corpus and the second information corpus may be determined based on the search results from the third information corpus. The search results from the first information corpus and the second information corpus may be ranked based on the ranking signal.

Abstract translation: 用于检索信息的方法可以包括在信息检索系统内接收搜索查询。 可以从第一信息语料库和第二信息语料库中识别响应于搜索查询的搜索结果。 可以从第三个信息语料库中识别响应于搜索查询的搜索结果。 可以基于来自第三信息语料库的搜索结果来确定与第一信息语料库和第二信息语料库相关联的排名信号。 可以基于排名信号对来自第一信息语料库和第二信息语料库的搜索结果进行排名。

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.

Inventor： Ankit Jain ,  Wei Chai ,  Piotr Zielinski ,  Qisheng Zhao ,  Jindong Chen ,  Anna Patterson ,  Ulas Kirazci ,  Abhinav Khandelwal

IPC: G06F17/30

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。

公开(公告)号：US20140317098A1

公开(公告)日：2014-10-23

申请号：US13868504

申请日：2013-04-23

Applicant: Google Inc.

Inventor： Ankit Jain ,  Wei Chai ,  Anna Patterson ,  Jindong Chen

IPC: G06F17/30

CPC classification number: G06F17/30554 ,  G06Q30/0255 ,  G06Q30/0631

Abstract: Systems and methods are disclosed for determining media consumption preferences. A method may include accessing media consumption history associated with a user. The media consumption history may include at least one of media purchase history of the user, media viewing history of the user, and media listening history of the user. A media category preference of the user may be determined, based on the media consumption history. The media category preference may include a popularity indication for each of a plurality of media categories of media items in the media consumption history. Search results provided in response to a search query by the user and/or media recommendations prepared for the user may be scored based on the media category preference. The media may include a video, a movie, a TV show, a book, an audio recording, a music album and/or another type of digital media.

Abstract translation: 公开了用于确定媒体消费偏好的系统和方法。 方法可以包括访问与用户相关联的媒体消费历史。 媒体消费历史可以包括用户的媒体购买历史，用户的媒体观看历史和用户的媒体收听历史中的至少一个。 可以基于媒体消费历史来确定用户的媒体类别偏好。 媒体类别偏好可以包括媒体消费历史中媒体项目的多个媒体类别中的每一个的流行度指示。 响应于用户的搜索查询提供的搜索结果和/或为用户准备的媒体推荐可以基于媒体类别偏好来评分。 媒体可以包括视频，电影，电视节目，书，音频记录，音乐相册和/或其他类型的数字媒体。

公开(公告)号：US20140317073A1

公开(公告)日：2014-10-23

申请号：US13868333

申请日：2013-04-23

Applicant: Google, Inc.

Inventor： Ankit Jain

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30648 ,  G06F17/30867

Abstract: A method for retrieving information may include receiving a search query within an information retrieval system. Search results responsive to the search query may be identified from a first information corpus and a second information corpus. Search results responsive to the search query may be identified from a third information corpus. A ranking signal associated with the first information corpus and the second information corpus may be determined based on the search results from the third information corpus. The search results from the first information corpus and the second information corpus may be ranked based on the ranking signal.

Abstract translation: 用于检索信息的方法可以包括在信息检索系统内接收搜索查询。 可以从第一信息语料库和第二信息语料库中识别响应于搜索查询的搜索结果。 可以从第三个信息语料库中识别响应于搜索查询的搜索结果。 可以基于来自第三信息语料库的搜索结果来确定与第一信息语料库和第二信息语料库相关联的排名信号。 可以基于排名信号对来自第一信息语料库和第二信息语料库的搜索结果进行排名。

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.

Inventor： Ankit Jain ,  Abhinav Khandelwal

IPC: G06F17/30

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.

公开(公告)号：US09558248B2

公开(公告)日：2017-01-31

申请号：US13971240

申请日：2013-08-20

Applicant: Google Inc.

Inventor： Ulas Kirazci ,  Brendan D. Burns ,  Abhishek Das ,  Ankit Jain ,  Anna Patterson

IPC: G06F17/30

CPC classification number: G06F17/30554 ,  G06F17/30613

Abstract: The present disclosure describes a data indexing and search service that resides locally on a computing device (e.g., a mobile phone) and that can host data for multiple applications on the device. By centralizing the storage of data as well as the search and query functions, unified search queries can be performed by the service.

Abstract translation: 本公开描述了本地驻留在计算设备（例如，移动电话）上并且可以托管设备上的多个应用的​​数据的数据索引和搜索服务。 通过集中数据的存储以及搜索和查询功能，可以由服务执行统一的搜索查询。