公开(公告)号：US20190155948A1

公开(公告)日：2019-05-23

申请号：US14674802

申请日：2015-03-31

Applicant: Google Inc.

Inventor： Trystan G. Upstill ,  Abhishek Das ,  Jeongwoo Ko ,  Neesha Subramaniam ,  Vishnu P. Natchu

IPC: G06F17/30

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, re-ranking resources for categorical queries. In one aspect, a method includes receiving queries, and for each received query: receiving data indicating resources identified by a search operation as being responsive to the query and ranked according to a first order, each resource having corresponding search score by which the resources are ranked in responsiveness to the query and determining whether a proper subset meets a quality condition based on a quality measure that is indicative of the quality of the resources in the proper subset and independent of search scores of the resources for received query. For each query for which the proper subset meets the quality condition, determining a quality score for each resource in the proper subset and re-ranking the resources in the proper subset according to their respective quality scores.

公开(公告)号：US20170068720A1

公开(公告)日：2017-03-09

申请号：US14846369

申请日：2015-09-04

Applicant: Google Inc.

Inventor： Jeongwoo Ko ,  Frank Uyeda ,  Arturo Ruiz, II ,  Bozhena Bidyuk

IPC: G06F17/30

CPC classification number: G06F16/285 ,  G06F16/24575 ,  G06F16/3331 ,  G06F16/353 ,  G06F16/951 ,  G06F16/9535

Abstract: An analytics engine for determining analytic relationships in data queries based on responsive data sets includes a memory for storing data and a processor in communication with the memory. The processor is configured to identify a data query for analysis from a query repository, retrieve a plurality of interaction data associated with the data query, wherein the interaction data represents interactions between a plurality of user systems and a query result previously generated based on the data query, wherein the query result includes a plurality of links, identify a link selection count for each of the plurality of links based on the plurality of interaction data, classify the data query as one of a content targeting query and a data-creator targeting query based upon the plurality of link selection counts, and generate a query characteristic analysis based upon the classified data query and the plurality of link selection counts.

Abstract translation: 用于基于响应数据集确定数据查询中的分析关系的分析引擎包括用于存储数据的存储器和与存储器通信的处理器。 处理器被配置为从查询库识别用于分析的数据查询，检索与数据查询相关联的多个交互数据，其中交互数据表示多个用户系统之间的交互和基于数据先前生成的查询结果 查询，其中所述查询结果包括多个链接，基于所述多个交互数据来识别所述多​​个链接中的每一个的链接选择计数，将所述数据查询分类为内容定向查询和数据创建者定位查询之一 基于所述多个链接选择计数，并且基于所述分类数据查询和所述多个链接选择计数生成查询特征分析。