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公开(公告)号：US09507804B2
公开(公告)日：2016-11-29
申请号：US14322430
申请日：2014-07-02
Applicant: Google Inc.
Inventor： Yun Zhou , Gaurav Garg , Radhika Malpani
CPC classification number: G06F17/30271 , G06F17/30244
Abstract: Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for determining similar queries for image searches. In one aspect, a method includes generating, for each of a plurality of search queries, a selection vector for the search query, each selection vector including a plurality of vector elements, each vector element corresponding to a unique image, and the value of each vector element being proportional to a number of selections of its corresponding unique image in response to the unique image being presented as a search result for the search query. The method further includes selecting a first search query and a second search query from the plurality of search queries and determining, from the selection vectors for the first and second search queries, a similarity measure that is a measurement of the similarity of the first search query to the second query.
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，用于确定图像搜索的类似查询。 一方面，一种方法包括针对搜索查询的选择向量生成针对搜索查询的选择向量，每个选择向量包括多个向量元素，对应于唯一图像的每个向量元素以及每个向量元素的值 矢量元素响应于作为搜索查询的搜索结果呈现的唯一图像而与其对应的唯一图像的选择的数量成比例。 该方法还包括从多个搜索查询中选择第一搜索查询和第二搜索查询，并且从第一和第二搜索查询的选择向量确定作为第一搜索查询的相似度的度量的相似性度量 到第二个查询。
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Patent Agency Ranking
公开(公告)号：US09900837B2
公开(公告)日：2018-02-20
申请号：US15178074
申请日：2016-06-09
Applicant: Google Inc.
Inventor： Yuyang Chen , Yun Zhou
CPC classification number: H04W52/0209 , H04L65/80 , H04L67/26 , H04L67/322 , H04M1/2535 , H04W4/12 , H04W24/02 , H04W72/10 , Y02D70/20
Abstract: A system and method for sending push notifications over different channels for different types of traffic is disclosed. The method includes establishing a first communication channel with a computing device, establishing a second communication channel with the computing device, associating a first category with the first communication channel, the first category having a first set of message types, associating a second category with the second communication channel, the second category having a second set of message types, receiving a message, determining a category for the message from the first category and the second category, and sending the message to the computing device using a communication channel associated with the determined category.
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公开(公告)号：US20170359778A1
公开(公告)日：2017-12-14
申请号：US15178074
申请日：2016-06-09
Applicant: Google Inc.
Inventor： Yuyang Chen , Yun Zhou
CPC classification number: H04W52/0209 , H04L65/80 , H04L67/26 , H04L67/322 , H04M1/2535 , H04W4/12 , H04W24/02 , H04W72/10 , Y02D70/20
Abstract: A system and method for sending push notifications over different channels for different types of traffic is disclosed. The method includes establishing a first communication channel with a computing device, establishing a second communication channel with the computing device, associating a first category with the first communication channel, the first category having a first set of message types, associating a second category with the second communication channel, the second category having a second set of message types, receiving a message, determining a category for the message from the first category and the second category, and sending the message to the computing device using a communication channel associated with the determined category.
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公开(公告)号：US09767157B2
公开(公告)日：2017-09-19
申请号：US13843150
申请日：2013-03-15
Applicant: Google Inc.
Inventor： Navneet Panda , Yun Zhou
CPC classification number: G06F17/3053 , G06F17/30861 , G06F17/30864
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicating a measure of quality for a site, e.g., a web site. In some implementations, the methods include obtaining baseline site quality scores for multiple previously scored sites; generating a phrase model for multiple sites including the previously scored sites, wherein the phrase model defines a mapping from phrase specific relative frequency measures to phrase specific baseline site quality scores; for a new site that is not one of the previously scored sites, obtaining a relative frequency measure for each of a plurality of phrases in the new site; determining an aggregate site quality score for the new site from the phrase model using the relative frequency measures of phrases in the new site; and determining a predicted site quality score for the new site from the aggregate site quality score.
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公开(公告)号：US20150161173A1
公开(公告)日：2015-06-11
申请号：US14322430
申请日：2014-07-02
Applicant: Google Inc.
Inventor： Yun Zhou , Gaurav Garg , Radhika Malpani
IPC: G06F17/30
CPC classification number: G06F17/30271 , G06F17/30244
Abstract: Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for determining similar queries for image searches. In one aspect, a method includes generating, for each of a plurality of search queries, a selection vector for the search query, each selection vector including a plurality of vector elements, each vector element corresponding to a unique image, and the value of each vector element being proportional to a number of selections of its corresponding unique image in response to the unique image being presented as a search result for the search query. The method further includes selecting a first search query and a second search query from the plurality of search queries and determining, from the selection vectors for the first and second search queries, a similarity measure that is a measurement of the similarity of the first search query to the second query.
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，用于确定图像搜索的类似查询。 一方面，一种方法包括针对搜索查询的选择向量生成针对搜索查询的选择向量，每个选择向量包括多个向量元素，对应于唯一图像的每个向量元素以及每个向量元素的值 矢量元素响应于作为搜索查询的搜索结果呈现的唯一图像而与其对应的唯一图像的选择的数量成比例。 该方法还包括从多个搜索查询中选择第一搜索查询和第二搜索查询，并且从第一和第二搜索查询的选择向量确定作为第一搜索查询的相似度的度量的相似性度量 到第二个查询。
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公开(公告)号：US20140280011A1
公开(公告)日：2014-09-18
申请号：US13843150
申请日：2013-03-15
Applicant: Google Inc.
Inventor： Yun Zhou , Navneet Panda
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/30861 , G06F17/30864
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicating a measure of quality for a site, e.g., a web site. In some implementations, the methods include obtaining baseline site quality scores for multiple previously scored sites; generating a phrase model for multiple sites including the previously scored sites, wherein the phrase model defines a mapping from phrase specific relative frequency measures to phrase specific baseline site quality scores; for a new site that is not one of the previously scored sites, obtaining a relative frequency measure for each of a plurality of phrases in the new site; determining an aggregate site quality score for the new site from the phrase model using the relative frequency measures of phrases in the new site; and determining a predicted site quality score for the new site from the aggregate site quality score.
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，用于预测站点（例如网站）的质量度量。 在一些实施方式中，所述方法包括获得多个先前得分的位点的基线站点质量得分; 生成包括先前评分的站点的多个站点的短语模型，其中短语模型定义从短语特定相对频率测量到短语特定基线站点质量得分的映射; 对于不是先前得分的网站之一的新网站，为新网站中的多个短语中的每一个获取相对频率度量; 使用新站点中的短语的相对频率测量从短语模型确定新站点的聚合站点质量得分; 以及从聚合站点质量得分确定新站点的预测站点质量得分。
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