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公开(公告)号：US08819006B1
公开(公告)日：2014-08-26
申请号：US14145086
申请日：2013-12-31
Applicant: Google Inc.
Inventor： Gal Chechik , Eyal Segalis , Yaniv Leviathan , Yoav Tzur
CPC classification number: G06F17/30867 , G06F17/30265 , G06F17/3053 , G06F17/30646 , G06F17/30654 , G06F17/30864
Abstract: Methods and systems for providing rich content with an answer to a question query. A method includes receiving a query determined to be a question query and a corresponding answer generated in response to the question query, generating a contextual query that includes an element relating to the question query and an element relating to the answer; submitting the contextual query to a rich content search process and receiving data specifying a first set of rich content items responsive to the contextual query, determining first rich content item in the first set of rich content items that meet a context condition that is indicative of a rich content item providing contextual information of both elements of the question query and the answer query; and preferentially selecting from the first content items relative to the second rich content items to be provided as one or more answer rich content items.
Abstract translation: 为问题查询提供丰富内容的方法和系统。 一种方法包括接收确定为问题查询的查询和响应于问题查询产生的对应答案，生成包括与问题查询相关的元素和与答案相关的元素的语境查询; 将所述上下文查询提交给富内容搜索处理并且响应于所述上下文查询接收指定第一组富内容项目的数据，确定所述第一丰富内容项集合中的第一富内容项，所述第一丰富内容项满足指示 丰富的内容项目提供问题查询和答案查询的两个元素的上下文信息; 并且优选地从第一内容项目中相对于作为一个或多个应答富内容项目提供的第二富内容项目进行选择。
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公开(公告)号：US10198508B1
公开(公告)日：2019-02-05
申请号：US15633368
申请日：2017-06-26
Applicant: Google Inc.
Inventor： Eyal Segalis , Gal Chechik , Yossi Matias , Yaniv Leviathan , Yoav Tzur
Abstract: Systems and methods are provided for searching and identifying quotes in response to a query from a user. Consistent with certain embodiments, systems and methods are provided for identifying one or more subject entities associated with the query and for identifying, from a database or from search results obtained in response to the query, a set of quotes corresponding to the one or more subject entities. Further, systems and methods are provided for determining quote scores for the identified quotes based on at least one of the relationship of each quote to the one or more subject entities, the recency of each quote, and the popularity of each quote. Additionally, systems and methods are provided for organizing the identified quotes in a rank order based on the quote scores and selecting quotes based on the rank order or based on the quote scores. In addition, systems and methods are provided for transmitting information to display the selected quotes on a display device.
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公开(公告)号：US09672816B1
公开(公告)日：2017-06-06
申请号：US14609858
申请日：2015-01-30
Applicant: Google Inc.
Inventor： Gal Chechik
CPC classification number: G10L15/08 , G10L13/02 , G10L13/06 , G10L2015/085
Abstract: Systems and methods are provided to select a most typical pronunciation of a location name on a map from a plurality of user pronunciations. A server generates a reference speech model based on user pronunciations, compares the user pronunciations with the speech model and selects a pronunciation based on comparison. Alternatively, the server compares the distance between one the user pronunciations and every other user pronunciations and selects a pronunciation based on comparison. The server then annotates the map with the selected pronunciation and provides the audio output of the location name to a user device upon a user's request.
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公开(公告)号：US20170109433A1
公开(公告)日：2017-04-20
申请号：US15394564
申请日：2016-12-29
Applicant: Google Inc.
Inventor： Asaf Zomet , Gal Chechik , Michael Shynar
CPC classification number: G06F16/3323 , G06F3/0237 , G06F3/0482 , G06F3/04886 , G06F16/3344 , G06F16/90324 , G06F17/24 , G06F17/273 , G06F17/276
Abstract: Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.
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公开(公告)号：US09594851B1
公开(公告)日：2017-03-14
申请号：US13762311
申请日：2013-02-07
Applicant: Google Inc.
Inventor： Gal Chechik
CPC classification number: G06F17/3097
Abstract: Methods and apparatus disclosed include identifying a pair comprising a document visited and a subsequent query, the subsequent query being submitted after visiting the document visited; generating a feature representation for the pair, each of the feature representations including one or more document features representing the content of a document visited, and one or more query features representing the content of a subsequent query; embedding the document features and the query features in a reduced dimensionality space; and determining a similarity measure for the reduced dimensionality space. In some embodiments, the similarity measure is indicative of the likelihood of co-occurrence of the document visited and the subsequent query. Other embodiments include iteratively training a query suggestion rule, applying the query suggestion rule to provide suggested queries in response to a document visited, corresponding systems, apparatus, and computer program products.
Abstract translation: 公开的方法和装置包括识别包括文件访问和后续查询的对，在访问所访问的文档之后提交后续查询; 生成所述对的特征表示，每个所述特征表示包括表示所访问的文档的内容的一个或多个文档特征以及表示后续查询的内容的一个或多个查询特征; 将文档特征和查询特征嵌入到减小的维度空间中; 以及确定所述缩小维数空间的相似性度量。 在一些实施例中，相似性度量表示所访问的文档和后续查询的同时发生的可能性。 其他实施例包括迭代地训练查询建议规则，应用查询建议规则以响应于访问的文档，对应的系统，装置和计算机程序产品来提供建议的查询。
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Patent Agency Ranking
公开(公告)号：US09235203B1
公开(公告)日：2016-01-12
申请号：US14505036
申请日：2014-10-02
Applicant: Google Inc.
Inventor： Tomas Izo , Gal Chechik
CPC classification number: G05B15/02 , G06F3/165 , G06F17/30764 , H04M1/72558 , H04M1/72569 , H04M1/737
Abstract: This disclosure is directed to providing audio playback to a mobile device user. According to one aspect of this disclosure, a mobile device may be to modify audio playback in response to detecting an inclination of the mobile device (and thereby a user) with respect to a reference plane. According to another aspect of this disclosure, a mobile device may be configured to automatically identify an audible sound that may be motivational to a user, and store an indication of the audible sound in response to the identification. According to another aspect of this disclosure, a mobile device may automatically play back a previously identified motivational song in response to detection of user movement.
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公开(公告)号：US09087271B2
公开(公告)日：2015-07-21
申请号：US14455350
申请日：2014-08-08
Applicant: Google Inc.
Inventor： Gal Chechik , Samy Bengio , Varun Sharma
CPC classification number: G06K9/66 , G06F17/30247 , G06F17/30265 , G06K9/6212 , G06K9/6276
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying similar images. In some implementations, a method is provided that includes receiving a collection of images and data associated with each image in the collection of images; generating a sparse feature representation for each image in the collection of images; and training an image similarity function using image triplets sampled from the collection of images and corresponding sparse feature representations.
Abstract translation: 方法，系统和装置，包括编码在计算机存储介质上的用于识别相似图像的计算机程序。 在一些实施方式中，提供了一种方法，其包括接收图像集合中与图像集合中的每个图像相关联的图像和数据的集合; 为图像集合中的每个图像生成稀疏特征表示; 并使用从图像集合和相应的稀疏特征表示中采样的图像三元组训练图像相似度函数。
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公开(公告)号：US20150161485A1
公开(公告)日：2015-06-11
申请号：US14455350
申请日：2014-08-08
Applicant: Google Inc.
Inventor： Gal Chechik , Samy Bengio , Varun Sharma
CPC classification number: G06K9/66 , G06F17/30247 , G06F17/30265 , G06K9/6212 , G06K9/6276
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying similar images. In some implementations, a method is provided that includes receiving a collection of images and data associated with each image in the collection of images; generating a sparse feature representation for each image in the collection of images; and training an image similarity function using image triplets sampled from the collection of images and corresponding sparse feature representations.
Abstract translation: 方法，系统和装置，包括编码在计算机存储介质上的用于识别相似图像的计算机程序。 在一些实施方式中，提供了一种方法，其包括接收图像集合中与图像集合中的每个图像相关联的图像和数据的集合; 为图像集合中的每个图像生成稀疏特征表示; 并使用从图像集合和相应的稀疏特征表示中采样的图像三元组训练图像相似度函数。
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公开(公告)号：US20140280109A1
公开(公告)日：2014-09-18
申请号：US13829591
申请日：2013-03-14
Applicant: Google Inc.
Inventor： Asaf Zomet , Gal Chechik , Michael Shynar
IPC: G06F17/30
CPC classification number: G06F16/3323 , G06F3/0237 , G06F3/0482 , G06F3/04886 , G06F16/3344 , G06F16/90324 , G06F17/24 , G06F17/273 , G06F17/276
Abstract: Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.
Abstract translation: 与提供用户指导术语建议相关的方法和设备。 一些实现可以被指向用于识别包括至少一个术语并且在该术语附近识别用户发起的活动的用户输入。 可以基于术语附近的用户发起的活动来识别编辑术语，可以识别编辑项中的编辑位置，并且可以基于编辑项来识别一个或多个候选项。 可以确定候选项的相似度度量。 候选项的给定候选项的相似性度量可以基于编辑位置。 可以基于相似性度量和为潜在替换编辑项提供的所选择的建议术语来选择候选项中的一个或多个作为建议项。
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公开(公告)号：US20140188894A1
公开(公告)日：2014-07-03
申请号：US13728419
申请日：2012-12-27
Applicant: Google Inc.
Inventor： Gal Chechik , Asaf Zomet , Michael Shynar
IPC: G06F17/30
CPC classification number: G06F3/04883 , G06F16/3322
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying a query for selected content. In one aspect, a method includes receiving gesture data specifying a user gesture interacting with a portion of displayed content. A subset of the content is identified based on the gesture data. A set of candidate search queries is identified based on the subset of the content. A likelihood score is determined for each candidate search query. The likelihood score for a candidate search query indicates a likelihood that the candidate search query is an intended search query specified by the user gesture. The likelihood score for each candidate search query is adjusted using a normalization factor. The normalization factor can be based on a number of characters included in the candidate search query. One or more of the candidate search queries are selected based on the adjusted likelihood scores.
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，用于识别所选内容的查询。 一方面，一种方法包括接收指定与所显示内容的一部分交互的用户手势的手势数据。 基于手势数据识别内容的子集。 基于内容的子集来识别一组候选搜索查询。 确定每个候选搜索查询的似然分数。 候选搜索查询的似然分数指示候选搜索查询是由用户手势指定的预期搜索查询的可能性。 使用归一化因子调整每个候选搜索查询的似然分数。 归一化因子可以基于候选搜索查询中包括的多个字符。 基于经调整的似然分数来选择一个或多个候选搜索查询。
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