图书情报工作

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2016 , Vol. 60 >Issue 24: 115 - 121

DOI: https://doi.org/10.13266/j.issn.0252-3116.2016.24.016

情报研究

基于“问题-用户”的网络问答社区专家发现方法研究

  • 龚凯乐 ,
  • 成颖
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  • 南京大学信息管理学院 南京 210023
龚凯乐(ORCID:0000-0001-9269-8669),硕士研究生,E-mail:njugong@163.com;成颖(ORCID:0000-0002-0664-7206),教授,博士生导师,博士。

收稿日期: 2016-07-13

  修回日期: 2016-12-10

  网络出版日期: 2016-12-20

基金资助

本文系国家自然科学基金面上项目“融合范式视角下的链接分析理论集成框架及其实证研究”（项目编号：71273125）和中国科学技术信息研究所合作研究项目“用户行为视角的链接动机与系统可用性研究”的研究成果之一。

收起

Finding Experts in Community Question Answering Based on “Question-User”

  • Gong Kaile ,
  • Cheng Ying
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  • School of Information Management, Nanjing University, Nanjing 210023

Received date: 2016-07-13

  Revised date: 2016-12-10

  Online published: 2016-12-20

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摘要

[目的/意义] 以网络问答社区为研究对象，提出基于“问题-用户”传播网络的专家发现方法，为建立用户激励机制、完善专家推荐方法提供借鉴。[方法/过程] 通过分析开放问答模式的特点，以“问题”和“用户”为节点、“答题关系”为有向边，构建“问题-用户”权威值传播网络，利用答案质量改进加权的HITS算法。[结果/结论] 提出的算法可以较好地兼顾用户的答题数量与答案质量，能够选择出活跃度高、知识渊博的用户作为专家。

关键词： 网络问答社区; 专家发现; 传播网络; 链接分析; HITS算法

本文引用格式

龚凯乐 , 成颖 . 基于“问题-用户”的网络问答社区专家发现方法研究[J]. 图书情报工作, 2016 , 60(24) : 115 -121 . DOI: 10.13266/j.issn.0252-3116.2016.24.016

Abstract

[Purpose/significance] Taking Community Question Answering as the research object, this paper proposes an experts finding algorithm, which is based on "question-user" propagation network, to provide a reference for establishing incentive mechanism and improving experts recommendation.[Method/process] By analyzing the features of open question answering model, this paper takes "question" and "user" as nodes, "answering question" as directed edges, and then builds an "question-user" authority propagation network. It also improves the weighted HITS algorithm by quality of answers.[Result/conclusion] Experimental results show that the algorithm can achieve a balance between number and quality of users' answers, then select active and knowledgeable users as experts.

Key words： Community Question Answering; experts finding; propagation network; link analysis; HITS algorithm

参考文献

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