公开(公告)号：US09183499B1

公开(公告)日：2015-11-10

申请号：US13866589

申请日：2013-04-19

Applicant: Google Inc.

Inventor： Igor Krivokon ,  Vladimir Ofitserov ,  Oleg Kislyuk

IPC: G06F15/18 ,  G06N5/02

CPC classification number: G06N5/02 ,  G06F17/30864

Abstract: 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.

Abstract translation: 用于基于邻居特征计算质量得分的方法，系统和装置。 一方面，一种方法包括获得使用一组训练实体训练的质量模型; 识别不同于每个训练实体的一组候选实体; 为每个候选实体获得候选实体的第一质量得分; 获取所述候选实体的邻居实体的一个或多个邻居特征，其中所述候选实体的每个相邻实体链接到所述候选实体; 获得候选实体的一个或多个实体特定特征值，其中每个实体特定特征值被独立于候选实体的相邻实体确定; 以及使用所述质量模型确定所述候选实体的第二质量得分，所述第二质量得分是基于所述第一质量得分，所述邻近特征和所述实体特定值来计算的。