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。
Finding Experts in Community Question Answering Based on “Question-User”
Received date: 2016-07-13
Revised date: 2016-12-10
Online published: 2016-12-20
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
[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.
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