发明名称 Evaluating quality based on neighbor features
摘要 Methods, systems, and apparatus for computing quality scores based on neighbor features. In one aspect, a method includes obtaining a quality model that was trained using a set of training entities; identifying a set of candidate entities that are different from each of the training entities; for each candidate entity: obtaining a first quality score for the candidate entity; obtaining one or more neighbor features for neighbor entities of the candidate entity, where each neighbor entity of the candidate entity is linked to the candidate entity; obtaining one or more entity specific feature values for the candidate entity, where each entity specific feature value is determined independent of the neighbor entities of the candidate entity; and determining a second quality score for the candidate entity using the quality model, the second quality score being computed based on the first quality score, the neighbor features, and the entity specific feature values.
申请公布号 US9183499(B1) 申请公布日期 2015.11.10
申请号 US201313866589 申请日期 2013.04.19
申请人 Google Inc. 发明人 Krivokon Igor;Ofitserov Vladimir;Kislyuk Oleg
分类号 G06F15/18;G06N5/02 主分类号 G06F15/18
代理机构 Fish & Richardson P.C. 代理人 Fish & Richardson P.C.
主权项 1. A computer-implemented method, comprising: obtaining a first quality model that was trained using a first set of training entities; identifying a set of candidate entities, where each candidate entity is different from each of the training entities; for each candidate entity in the set of candidate entities: obtaining a first quality score for the candidate entity;obtaining one or more neighbor features for neighbor entities of the candidate entity, where each neighbor entity of the candidate entity is an entity that is linked to the candidate entity;obtaining one or more entity specific feature values for the candidate entity, where each entity specific feature value is determined independent of the neighbor entities of the candidate entity; anddetermining a second quality score for the candidate entity using the first quality model, the second quality score being computed based on the first quality score, the neighbor features, and the entity specific feature values.
地址 Mountain View CA US