Modifying search result ranking based on implicit user feedback

    公开(公告)号:US09811566B1

    公开(公告)日:2017-11-07

    申请号:US14992959

    申请日:2016-01-11

    Applicant: Google Inc.

    Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.

    Ranking image search results using hover data
    12.
    发明授权
    Ranking image search results using hover data 有权
    使用悬停数据排名图像搜索结果

    公开(公告)号:US09218369B2

    公开(公告)日:2015-12-22

    申请号:US14445446

    申请日:2014-07-29

    Applicant: Google Inc.

    CPC classification number: G06F17/30265 G06F17/30 G06F17/30864

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for ranking images using hover data. In one aspect, a method includes determining a click count and a hover count for an image and a search query pair. The click count specifies a number of times that an image search result that includes a representation of the image has been selected when provided in response to the search query. The hover count specifies a number of times that the representation of the image has been hovered over when the image search result has been provided in response to the search query. A quality measure for the image with respect to the search query is determined. The quality measure is based on the click count and the hover count. A ranking of the image is adjusted for the search query based on the quality measure for the image.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于使用悬停数据对图像进行排序。 一方面,一种方法包括确定图像和搜索查询对的点击次数和悬停计数。 点击次数指定响应于搜索查询而提供的包含图像的表示的图像搜索结果已经被选择的次数。 悬停计数指定了当响应于搜索查询而提供图像搜索结果时图像的表示已经被悬停的次数。 确定相对于搜索查询的图像的质量度量。 质量度量基于点击次数和悬停次数。 基于图像的质量测量,针对搜索查询调整图像的排名。

    Scoring content based on social interaction
    13.
    发明授权
    Scoring content based on social interaction 有权
    基于社会互动评分内容

    公开(公告)号:US09098176B1

    公开(公告)日:2015-08-04

    申请号:US13798968

    申请日:2013-03-13

    Applicant: Google Inc.

    CPC classification number: H04L67/10 G06F17/30 G06F17/30867 G06Q50/01 H04L67/02

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage medium, for identifying a set of items of digital content displayed to a user; processing the set of items to identify a set of boost items, items within the set of boost items to be prominently displayed, processing comprising: receiving a close-ties score associated with a respective item, the close-ties score representing a relationship between the user and other users associated with the respective item and an importance of a social circle associated with the item to the user, determining that the close-ties score associated with the respective item exceeds a threshold close-ties score, and in response to determining that the close-ties score exceeds the threshold close-ties score, adding the respective item to the set of boost items; providing instructions for boosting a display of items in the set of boost items in a page displayed to the user.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于识别显示给用户的一组数字内容; 处理所述一组项目以识别一组提升项目,所述提升项目集合中要突出显示的项目,处理包括:接收与相应项目相关联的关系得分,所述关系分数表示所述提升项目之间的关系 用户和与相应项目相关联的其他用户以及与该项目相关联的社交圈对用户的重要性,确定与相应项目相关联的关系得分超过阈值关系分数,并且响应于确定 关系分数超过阈值关系分数,将相应项目添加到提升项目集合; 提供用于在显示给用户的页面中提升在该组提升项目中的项目的显示的指令。

    Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems
    14.
    发明授权
    Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems 有权
    在基于关键字的检索系统中找到有意义的词汇或停止词组

    公开(公告)号:US08965919B1

    公开(公告)日:2015-02-24

    申请号:US14143161

    申请日:2013-12-30

    Applicant: Google Inc.

    Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.

    Abstract translation: 停止词检测组件在输入到基于关键字的信息检索系统的搜索查询中检测到停止词(也称为停止词)。 最初通过将搜索查询中的术语与已知无效词列表进行比较来识别潜在的禁忌词。 然后基于搜索查询和所识别的无效词来检索上下文数据。 在一个实现中,上下文数据包括从文档索引检索的文档。 在另一实现中,上下文数据包括与搜索查询相关的类别。 将检索到的上下文数据的集合彼此进行比较以确定它们是否基本相似。 如果上下文数据集合基本相似,则可以使用该事实来推断潜在的停止词的移除对搜索不重要。 如果上下文数据集基本上不相似,潜在的停用词可以被认为是搜索的重要内容,不应该从查询中移除。

    Reranking query completions
    15.
    发明授权
    Reranking query completions 有权
    Reranking查询完成

    公开(公告)号:US09298852B2

    公开(公告)日:2016-03-29

    申请号:US13928868

    申请日:2013-06-27

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/3097 G06F17/3064 G06F17/30646 G06F17/30672

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reranking query completions based on activity session data. One of the methods includes receiving a query prefix from a user. Query completions are obtained for the query prefix. One or more likely queries that are likely to co-occur with a reference query in user activity sessions are obtained. If one of the likely queries matches one of the query completions, a modified ranking of the query completions is determined, including boosting a ranking of matching query completions. The modified ranking of the query completions is provided in response to receiving the query prefix.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于基于活动会话数据重新排列查询完成。 其中一种方法包括从用户接收查询前缀。 获取查询前缀的查询完成。 获得在用户活动会话中可能与参考查询共存的一个或多个可能的查询。 如果一个可能的查询与其中一个查询完成相匹配,则确定查询完成的修改排名,包括提升匹配查询完成的排名。 响应于接收查询前缀而提供查询完成的修改排名。

    RANKING IMAGE SEARCH RESULTS USING HOVER DATA
    16.
    发明申请
    RANKING IMAGE SEARCH RESULTS USING HOVER DATA 有权
    使用HOVER数据排列图像搜索结果

    公开(公告)号:US20150169639A1

    公开(公告)日:2015-06-18

    申请号:US14445446

    申请日:2014-07-29

    Applicant: Google Inc.

    CPC classification number: G06F17/30265 G06F17/30 G06F17/30864

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for ranking images using hover data. In one aspect, a method includes determining a click count and a hover count for an image and a search query pair. The click count specifies a number of times that an image search result that includes a representation of the image has been selected when provided in response to the search query. The hover count specifies a number of times that the representation of the image has been hovered over when the image search result has been provided in response to the search query. A quality measure for the image with respect to the search query is determined. The quality measure is based on the click count and the hover count. A ranking of the image is adjusted for the search query based on the quality measure for the image.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于使用悬停数据对图像进行排序。 一方面,一种方法包括确定图像和搜索查询对的点击次数和悬停计数。 点击次数指定响应于搜索查询而提供的包含图像的表示的图像搜索结果已经被选择的次数。 悬停计数指定当响应于搜索查询而提供图像搜索结果时图像的表示已经被悬停的次数。 确定相对于搜索查询的图像的质量度量。 质量度量基于点击次数和悬停次数。 基于图像的质量测量,针对搜索查询调整图像的排名。

    RERANKING QUERY COMPLETIONS
    17.
    发明申请
    RERANKING QUERY COMPLETIONS 有权
    快速查询完成

    公开(公告)号:US20150169578A1

    公开(公告)日:2015-06-18

    申请号:US13928868

    申请日:2013-06-27

    Applicant: GOOGLE INC.

    CPC classification number: G06F17/3097 G06F17/3064 G06F17/30646 G06F17/30672

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reranking query completions based on activity session data. One of the methods includes receiving a query prefix from a user. Query completions are obtained for the query prefix. One or more likely queries that are likely to co-occur with a reference query in user activity sessions are obtained. If one of the likely queries matches one of the query completions, a modified ranking of the query completions is determined, including boosting a ranking of matching query completions. The modified ranking of the query completions is provided in response to receiving the query prefix.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于基于活动会话数据重新排列查询完成。 其中一种方法包括从用户接收查询前缀。 获取查询前缀的查询完成。 获得在用户活动会话中可能与参考查询共存的一个或多个可能的查询。 如果一个可能的查询与其中一个查询完成相匹配,则确定查询完成的修改排名,包括提升匹配查询完成的排名。 响应于接收查询前缀而提供查询完成的修改排名。

    Permitting users to remove documents
    18.
    发明授权
    Permitting users to remove documents 有权
    允许用户删除文档

    公开(公告)号:US08996517B2

    公开(公告)日:2015-03-31

    申请号:US13858537

    申请日:2013-04-08

    Applicant: Google Inc.

    CPC classification number: G06F17/3053 G06F17/30867

    Abstract: A system may present information regarding a document and provide an option for removing the document. The system may also receive selection of the option and remove the document when the option is selected. The system may aggregate information regarding documents that have been removed by a group of users and assign scores to a set of documents based on the aggregated information.

    Abstract translation: 系统可以呈现关于文档的信息并提供用于移除文档的选项。 当选择该选项时,系统还可以接收该选项的选择并移除文档。 该系统可以聚合关于一组用户已被删除的文档的信息,并且基于聚合信息将分数分配给一组文档。

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