Multidimensional scaling based knowledge provision for new questions in community Question Answering systems

Community-based Question Answering (CQA) sites have become popular since they allow users to get answers to complex, detailed and personal question from other users directly. However, since answering a question depends on the ability and willingness of other users to address the askers' real needs, a significant fraction of the questions remain unanswered. To decrease the unanswered question rate and then improve the user experience, in this paper, a multidimensional scaling (MDS) based data reorganization method is proposed. By using this method, the CQA system can predict the askers' intention and accordingly provide related previous question/answer pairs to help them find useful information. The method has been evaluated on an off-line dataset extracted from Baidu Zhidao and the result has shown its promising potential in knowledge management in CQA systems.

[1]  Christopher Meek,et al.  Semantic Parsing for Single-Relation Question Answering , 2014, ACL.

[2]  W. Bruce Croft,et al.  Retrieval models for question and answer archives , 2008, SIGIR '08.

[3]  Damon Horowitz,et al.  The anatomy of a large-scale social search engine , 2010, WWW '10.

[4]  Irwin King,et al.  Routing questions to appropriate answerers in community question answering services , 2010, CIKM.

[5]  Jaime G. Carbonell,et al.  Rank learning for factoid question answering with linguistic and semantic constraints , 2010, CIKM.

[6]  Idan Szpektor,et al.  Learning from the past: answering new questions with past answers , 2012, WWW.

[7]  Michael R. Lyu,et al.  Analyzing and predicting question quality in community question answering services , 2012, WWW.

[8]  Li Cai,et al.  Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives , 2011, ACL.

[9]  Pnina Fichman,et al.  A comparative assessment of answer quality on four question answering sites , 2011, J. Inf. Sci..

[10]  Nick Craswell.  Mean Reciprocal Rank , 2009, Encyclopedia of Database Systems.

[11]  W. Bruce Croft,et al.  Finding similar questions in large question and answer archives , 2005, CIKM '05.

[12]  Zhoujun Li,et al.  Mining Query Subtopics from Questions in Community Question Answering , 2015, AAAI.

[13]  Enhong Chen,et al.  Improving search relevance for short queries in community question answering , 2014, WSDM.

[14]  Filip Radlinski,et al.  A support vector method for optimizing average precision , 2007, SIGIR.

[15]  Wilfred Ng,et al.  Cold-Start Expert Finding in Community Question Answering via Graph Regularization , 2015, DASFAA.

[16]  Marco Wiering,et al.  2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) , 2011, IJCNN 2011.

[17]  Natasa Milic-Frayling,et al.  Socializing or knowledge sharing?: characterizing social intent in community question answering , 2009, CIKM.

[18]  Gang Wang,et al.  Understanding user's query intent with wikipedia , 2009, WWW '09.

[19]  Christopher D. Manning,et al.  Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..

[20]  Valentin Jijkoun,et al.  Retrieving answers from frequently asked questions pages on the web , 2005, CIKM '05.

[21]  Patrick J. F. Groenen,et al.  Modern Multidimensional Scaling: Theory and Applications , 2003 .

[22]  Haixun Wang,et al.  Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis , 2014, IEEE Intelligent Systems.

[23]  Qing Yang,et al.  Predicting Best Answerers for New Questions in Community Question Answering , 2010, WAIM.

[24]  Quoc V. Le,et al.  Distributed Representations of Sentences and Documents , 2014, ICML.

[25]  Idan Szpektor,et al.  I want to answer; who has a question?: Yahoo! answers recommender system , 2011, KDD.

[26]  James P. Callan,et al.  Structured retrieval for question answering , 2007, SIGIR.

[27]  David J. Kriegman,et al.  Generalized Non-metric Multidimensional Scaling , 2007, AISTATS.

[28]  Snehasish Banerjee,et al.  So fast so good: An analysis of answer quality and answer speed in community Question-answering sites , 2013, J. Assoc. Inf. Sci. Technol..

[29]  Christian S. Jensen,et al.  A generalized framework of exploring category information for question retrieval in community question answer archives , 2010, WWW '10.

[30]  Yi Liu,et al.  Statistical Machine Translation for Query Expansion in Answer Retrieval , 2007, ACL.

[31]  Susan T. Dumais,et al.  Understanding temporal query dynamics , 2011, WSDM '11.

[32]  Yong Yu,et al.  Searching Questions by Identifying Question Topic and Question Focus , 2008, ACL.