KNOWLEDGE ORGANIZATION

Research on the Sorting Method of Answer Usefulness in Social Q&A Community Integrating Word2vec and WGRA-Taking Ctrip Q&A as an Example

  • Guo Shunli ,
  • Bu Hui
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  • School of Communication, Qufu Normal University, Rizhao 276800

Received date: 2021-06-23

  Revised date: 2021-09-22

  Online published: 2021-12-18

Abstract

[Purpose/significance] In order to solve the diversified information needs of users and the problem of redundant and overloaded answers in the social Q&A community, this paper proposes an answer usefulness ranking method oriented to users' personalized needs,assists users to efficiently filter and obtain useful answer knowledge.[Method/process] First, through literature research and expert consultation, an answer usefulness evaluation index system was constructed from the three dimensions of answer characteristics, answerer characteristics and answer timeliness; Then, it integrated the user's personalized needs from the semantic level, designed an answer usefulness ranking method that combined WGRA and Word2vec, and realized the answer ranking oriented to user needs.[Result/conclusion] Through comparative analysis of experimental results, it is found that compared with traditional ranking methods based on "likes" and "answer time", the answer usefulness ranking method designed in this paper has higher user satisfaction and is more able to satisfy users' personalized knowledge demands.

Cite this article

Guo Shunli , Bu Hui . Research on the Sorting Method of Answer Usefulness in Social Q&A Community Integrating Word2vec and WGRA-Taking Ctrip Q&A as an Example[J]. Library and Information Service, 2021 , 65(23) : 126 -135 . DOI: 10.13266/j.issn.0252-3116.2021.23.014

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