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公开(公告)号:US09659056B1
公开(公告)日:2017-05-23
申请号:US14143904
申请日:2013-12-30
Applicant: GOOGLE INC.
Inventor: Gal Chechik , Yaniv Leviathan , Ran El Manor , Yoav Tzur , Eyal Segalis , Efrat Farkash , Yossi Matias
IPC: G06F17/30
CPC classification number: G06F17/30424
Abstract: Systems and methods are disclosed for providing an explanation of an estimate for information missing from a data graph. An example method may include receiving a query that requests information for a first entity and receiving an estimate for the information, the estimate being based on a plurality of features of a joint distribution model. The method may include determining respective contribution scores for the plurality of features, selecting a quantity of the features with highest contribution scores, generating, using the selected quantity of features, an explanation for the estimate; and providing the explanation and the estimate as part of a search result for the query.
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公开(公告)号:US09727545B1
公开(公告)日:2017-08-08
申请号:US14096746
申请日:2013-12-04
Applicant: Google Inc.
Inventor: Eyal Segalis , Yaniv Leviathan , Yossi Matias , Gal Chechik , Yoav Tzur , Ran El Manor
CPC classification number: G06F17/24 , G06F17/248 , G06F17/30864 , G06F17/30867
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting textual representations for entity attribute values. One of the methods includes receiving, for presentation to a user, data identifying a relevant entity and a respective presentation attribute value for each of a plurality of presentation attributes associated with the relevant entity; obtaining user profile data for the user; selecting a respective textual representation for each of the presentation attribute values, wherein selecting the textual representations comprises selecting a first alternative textual representation for a first presentation attribute value based on the user profile data; and providing data identifying the entity and the textual representations for presentation to the user.
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公开(公告)号:US10318540B1
公开(公告)日:2019-06-11
申请号:US15393769
申请日:2016-12-29
Applicant: GOOGLE INC.
Inventor: Gal Chechik , Yaniv Leviathan , Ran El Manor , Yoav Tzur , Eyal Segalis , Efrat Farkash , Yossi Matias
IPC: G06F16/24 , G06F16/248 , G06F16/2458
Abstract: Systems and methods are disclosed for providing an explanation of an estimate for information missing from a data graph. An example method may include receiving a query that requests information for a first entity and receiving an estimate for the information, the estimate being based on a plurality of features of a joint distribution model. The method may include determining respective contribution scores for the plurality of features, selecting a quantity of the features with highest contribution scores, generating, using the selected quantity of features, an explanation for the estimate; and providing the explanation and the estimate as part of a search result for the query.
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公开(公告)号:US10534810B1
公开(公告)日:2020-01-14
申请号:US15056183
申请日:2016-02-29
Applicant: Google Inc.
Inventor: Ran El Manor , Yaniv Leviathan
IPC: G06F16/58 , G06F16/2457
Abstract: Systems and methods are disclosed for enriching a knowledge base for search queries. According to certain embodiments, images are assigned annotations that identify entities contained in the images. An object entity is selected among the entities based on the annotations and at least one attribute entity is determined using annotated images containing the object entity. A relationship between the object entity and the at least one attribute entity is inferred and stored in the knowledge base. In some embodiments, confidence may be calculated for the entities. The confidence scores may be aggregated across a plurality of images to identify an object entity.
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