公开(公告)号：US09881077B1

公开(公告)日：2018-01-30

申请号：US13962705

申请日：2013-08-08

Applicant: Google Inc.

Inventor： Enrique Alfonseca ,  Yasemin Altun ,  Massimiliano Ciaramita ,  Jean-Yves Delort ,  Ekaterina Filippova ,  Thomas Hofmann ,  Evangelos Kanoulas ,  Ioannis Tsochantaridis

IPC: G06F17/30

CPC classification number: G06F17/30705 ,  G06F17/3089

Abstract: News documents from one or more sources are aggregated. The news documents are grouped into a plurality of news collections. Each of the news collections includes a sub-set of the news documents having related content. Objects described by the news collections are determined. The objects collectively form a set of objects. A relevance of each of the news collections is measured with respect to the objects respectively described by the news collections and one or more news collections are determined from the plurality of news collections to be associated with a first object included in the set of objects based on the relevance of the one or more news collections to the first object.

公开(公告)号：US09940367B1

公开(公告)日：2018-04-10

申请号：US14824553

申请日：2015-08-12

Applicant: Google Inc.

Inventor： Steven D. Baker ,  Srinivasan Venkatachary ,  Robert Andrew Brennan ,  Per Bjornsson ,  Yi Liu ,  Hadar Shemtov ,  Massimiliano Ciaramita ,  Ioannis Tsochantaridis

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scoring candidate answer passages. In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; for a subset of the resources: receiving candidate answer passages; determining, for each candidate answer passage, a query term match score that is a measure of similarity of the query terms to the candidate answer passage; determining, for each candidate answer passage, an answer term match score that is a measure of similarity of answer terms to the candidate answer passage; determining, for each candidate answer passage, a query dependent score based on the query term match score and the answer term match score; and generating an answer score that is a based on the query dependent score.