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.

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.