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公开(公告)号：US09754036B1
公开(公告)日：2017-09-05
申请号：US14226027
申请日：2014-03-26
Applicant: Google Inc.
Inventor： Evgeniy Gabrilovich , John Giannandrea , Jason Douglas
CPC classification number: G06F17/30867 , G06Q30/0256
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a search engine to provide an entity some indication of topics in which a user may have an interest. The methods, systems, and apparatus include actions of receiving information at a search engine from a classifier indicating that a user is likely interested in a set of topics based on information about the user provided by the search engine to the classifier. Additional actions may include selecting a subset of the topics and generating a search results page that includes one or more references for one or more resources that are responsive to a search query. At least one reference of the one or more references may include information based on the received information that indicates that the user is likely interested in the subset of topics.
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2.发明申请IDENTIFYING EFFECTIVE CROWDSOURCE CONTRIBUTORS AND HIGH QUALITY CONTRIBUTIONS 审中-公开识别有效的作品贡献者和高质量的贡献公开(公告)号：US20150242447A1
公开(公告)日：2015-08-27
申请号：US14244674
申请日：2014-04-03
Applicant: GOOGLE INC.
Inventor： Panagiotis Grigorios Ipeirotis , Evgeniy Gabrilovich , Chun How Tan , Yevgeny E. Agichtein
CPC classification number: G06F16/215 , G06Q30/0246 , G06Q50/01
Abstract: Systems and methods are disclosed for targeting effective contributors and identifying high quality contributions. For example, a method may include displaying an advertisement to a potential contributor via an advertising platform, receiving an indication that the potential contributor responded to the advertisement, generating a crowdsourcing exercise that is presented to the contributor, receiving a response (a conversion event) from the contributor to the crowdsourcing exercise, and notifying the advertising platform about the conversion event. As another example, a method may include determining a concept space for a new contribution, obtaining previously correct and incorrect contributions of the contributor in the concept space, and determining an expertise confidence score for the new contribution based on a comparison of the new contribution with the previously correct and incorrect contributions. The method may include automatically approving the new contribution for the crowdsourced repository based on the expertise confidence score.
Abstract translation: 公开了系统和方法，用于定位有效贡献者并确定高质量的贡献。 例如，一种方法可以包括通过广告平台向潜在贡献者显示广告，接收潜在贡献者对广告的响应的指示，产生呈现给贡献者的众包行为，接收响应（转换事件） 从贡献者到众包运动，并通知广告平台关于转换事件。 作为另一示例，方法可以包括确定新贡献的概念空间，在概念空间中获得贡献者的先前正确和不正确的贡献，以及基于新贡献与 以前正确和不正确的贡献。 该方法可以包括基于专业知识信度得分来自动批准针对众包知识库的新贡献。
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公开(公告)号：US09875296B2
公开(公告)日：2018-01-23
申请号：US14667792
申请日：2015-03-25
Applicant: Google Inc.
Inventor： Wei Lwun Lu , Denis Savenkov , Amarnag Subramanya , Jeffrey Dalton , Evgeniy Gabrilovich , Eugene Agichtein
CPC classification number: G06F17/3064 , G06F17/2705 , G06F17/2785
Abstract: Methods, systems, and apparatus for obtaining a resource, identifying a first portion of text of the resource that is characterized as a question, and a second part of text of the resource that is characterized as an answer to the question, identifying an entity that is referenced by one or more terms of the text that is characterized as the question, a relationship type that is referenced by one or more other terms of the text that is characterized as the question, and an entity that is referenced by the text that is characterized as the answer to the question, and adjusting a score for a relationship of the relationship type for the entity that is referenced by the one or more terms of the text that is characterized as the question and the entity that is referenced by the text that is characterized as the answer to the question.
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公开(公告)号：US20140280307A1
公开(公告)日：2014-09-18
申请号：US13842606
申请日：2013-03-15
Applicant: GOOGLE INC.
Inventor： Rahul Gupta , Shaohua Sun , John Blitzer , Dekang Lin , Evgeniy Gabrilovich
IPC: G06F17/30
CPC classification number: G06F17/30657 , G06N5/025
Abstract: Methods and systems are provided for a question answering. In some implementations, a data element to be updated is identified in a knowledge graph and a query is generated based at least in part on the data element. The query is provided to a query processing engine. Information is received from the query processing engine in response to the query. The knowledge graph is updated based at least in part on the received information.
Abstract translation: 提供的方法和系统用于回答问题。 在一些实现中，在知识图中识别要更新的数据元素，并且至少部分地基于数据元素生成查询。 该查询被提供给查询处理引擎。 响应于查询，从查询处理引擎收到信息。 至少部分地基于所接收的信息更新知识图。
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Patent Agency Ranking
公开(公告)号：US10977573B1
公开(公告)日：2021-04-13
申请号：US15130089
申请日：2016-04-15
Applicant: Google Inc.
Inventor： Jeffrey Dalton , Karthik Raman , Evgeniy Gabrilovich , Kevin Patrick Murphy , Wei Zhang
IPC: G06N20/00 , G06F16/80 , G06F40/169
Abstract: Systems and methods provide distantly supervised wrapper induction for semi-structured documents, including automatically generating and annotating training documents for the wrapper. Training of the wrapper may occur in two phases using the training documents. An example method includes identifying a training set of semi-structured web pages having a subject entity that exists in a knowledge base and, for each training page, identifying target objects, identifying predicates in the knowledge base that connect the subject entity to a target objects identified in the training page, and annotating the training page. Annotating a training page includes generating a feature set for a mention of the target object, generating predicate-target object pairs for the mention, and labeling each predicate-target object pair with a corresponding example type and weight. The annotated training pages are used to train the wrapper to extract new subject entities and new facts from the set of semi-structured web pages.
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公开(公告)号：US10108700B2
公开(公告)日：2018-10-23
申请号：US13842606
申请日：2013-03-15
Applicant: GOOGLE INC.
Inventor： Rahul Gupta , Shaohua Sun , John Blitzer , Dekang Lin , Evgeniy Gabrilovich
Abstract: Methods and systems are provided for a question answering. In some implementations, a data element to be updated is identified in a knowledge graph and a query is generated based at least in part on the data element. The query is provided to a query processing engine. Information is received from the query processing engine in response to the query. The knowledge graph is updated based at least in part on the received information.
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7.发明申请公开(公告)号：US20180189673A1
公开(公告)日：2018-07-05
申请号：US15394875
申请日：2016-12-30
Applicant: Google Inc.
Inventor： Jeffrey Dalton , Karthik Raman , Tobias Schnabel , Evgeniy Gabrilovich
CPC classification number: G06N20/00 , G06F16/248 , G06F16/951 , G06F16/9535 , G06N3/08
Abstract: The present disclosure provides systems and methods that use machine learning to improve whole-structure relevance of hierarchical informational displays. In particular, the present disclosure provides systems and methods that employ a supervised, discriminative machine learning approach to jointly optimize the ranking of items and their display attributes. One example system includes a machine-learned display selection model that has been trained to jointly select a plurality of items and one or more attributes for each item for inclusion in an informational display. For example, the machine-learned display selection model can optimize a nested submodular objective function to jointly select the items and attributes.
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公开(公告)号：US20160283491A1
公开(公告)日：2016-09-29
申请号：US14667792
申请日：2015-03-25
Applicant: Google Inc.
Inventor： Wei Lwun Lu , Denis Savenkov , Amarnag Subramanya , Jeffrey Dalton , Evgeniy Gabrilovich , Eugene Agichtein
CPC classification number: G06F17/3064 , G06F17/2705 , G06F17/2785
Abstract: Methods, systems, and apparatus for obtaining a resource, identifying a first portion of text of the resource that is characterized as a question, and a second part of text of the resource that is characterized as an answer to the question, identifying an entity that is referenced by one or more terms of the text that is characterized as the question, a relationship type that is referenced by one or more other terms of the text that is characterized as the question, and an entity that is referenced by the text that is characterized as the answer to the question, and adjusting a score for a relationship of the relationship type for the entity that is referenced by the one or more terms of the text that is characterized as the question and the entity that is referenced by the text that is characterized as the answer to the question.
Abstract translation: 用于获取资源的方法，系统和装置，识别被表征为问题的资源的文本的第一部分以及被描述为该问题的答案的资源的文本的第二部分， 由文本的一个或多个术语引用，其被表征为该问题，被描述为问题的文本的一个或多个其他术语引用的关系类型以及由文本引用的实体 其特征在于该问题的答案，并且调整由特征为问题的文本的一个或多个术语引用的实体的关系类型的关系的得分和由文本引用的文本 被认为是问题的答案。
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公开(公告)号：US11138615B1
公开(公告)日：2021-10-05
申请号：US15234132
申请日：2016-08-11
Applicant: Google Inc.
Inventor： Abhimanyu Das , Evgeniy Gabrilovich , Wei Lwun Lu , Shuxin Nie
Abstract: Location history data can be used to identify attributes for a known geographic location of a business listing record for a business. As an example, location history data is received from each of a plurality of client computing devices. For each device, the location history data identifies an arrival and departure times for the known geographic location as well as prior and next visit information. The location history data is used as input into a classifier in order to identify a set of attributes for the geographic location and corresponding likelihood values for each of the attributes of the set of attributes. A subset of the set of attributes is determined such that the attributes describe aspects of the known geographic location based on the likelihood values. This subset is provided to a client computing device in response to a request for information about the geographic location.
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