Question microblog identification and answer recommendation

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• 作者：Xiangrong Liu ; Runquan Xie ; Chen Lin ; Liujuan Cao
• 刊名：Multimedia Systems
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：22
• 期：4
• 页码：487-496
• 全文大小：532 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Operating Systems
  Data Storage Representation
  Data Encryption
  Computer Graphics
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-1882
• 卷排序：22

文摘

Consulting through message-updating in social network is regarded as a popular way of information seeking. However, most questions cannot receive answers or suggestions timely, and some questions even fail to get replies. Thus, identifying microblogs that contain questions (we call them “question microblog”) and recommending answers automatically are meaningful. We divide this problem into two submodules: question identification and answer recommendation. To the best of our knowledge, few attempts have been made to identify questions in microblogs due to standard features such as 5W1H (How, What, Where, When, Who, Why) are likely to be absent. The following challenging problem is how to provide users a relevant, credible, diversified and personalized answer after a microblog is recognized as a question. In this paper, we investigate the feasibility of integrating standard features and contextual features extracted from auxiliary resources and recommend a reasonable answer using collaborative filtering. Empirical results on Sina Microblog dataset demonstrate the efficacy and effectiveness of our method.KeywordsQuestion identificationMicroblogAnswer recommendation