公开(公告)号：WO2017143096A1

公开(公告)日：2017-08-24

申请号：PCT/US2017/018220

申请日：2017-02-16

Applicant: LINKEDIN CORPORATION

Inventor： KENTHAPADI, Krishnaram ,  KAO, Kevin ,  LEE, Jeffrey Warren

IPC: G06F17/30

CPC classification number: G06F17/30675 ,  G06F17/30663 ,  G06F17/30684 ,  G06F17/30719 ,  G06F17/30958 ,  G06Q10/1053 ,  H04L67/306

Abstract: In an example embodiment, a method for selecting text snippets to display on a computer display is provided. A universal concept graph for phrases relevant to a search domain is created, the universal concept graph representing each phrase as a node and relationships between the phrases as edges between the nodes. A result in the search domain is represented as a subgraph of the universal concept graph by extracting a portion of the universal concept graph containing phrases contained in the result. Then, a score is produced for each node of the subgraph, the score based on a graph analysis algorithm applied to the subgraph. Then text snippets to display for the result are selected to be displayed based on the scores produced in the subgraph for phrases contained in the text snippets.

Abstract translation: 在示例实施例中，提供了一种用于选择文本片段以在计算机显示器上显示的方法。 创建与搜索域相关的短语的通用概念图，通用概念图将每个短语表示为节点，并且将短语之间的关系表示为节点之间的边缘。 通过提取包含在结果中的短语的通用概念图的一部分，将搜索域中的结果表示为通用概念图的子图。 然后，为子图的每个节点生成一个分数，该分数基于应用于子图的图分析算法。 然后根据文章片段中包含的短语在子图中生成的分数选择要显示结果的文本片段。