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Analogical Reasoning for Answer Ranking in Social Question Answering
Found in: IEEE Intelligent Systems
By Xudong Tu,Dan Feng,Xin-Jing Wang,Lei Zhang
Issue Date:September 2012
pp. 28-35
Answer ranking is important to social question-answering services. An analogical reasoning approach measures the similarity between new question-answer pairs and existing positive examples.
 
EDOS: Employing Mini-DB for High Semantic Object Store
Found in: Networking, Architecture, and Storage, International Conference on
By Xudong Tu, Dan Feng, Zhipeng Tan
Issue Date:July 2010
pp. 420-428
Storage management server, compatible with decoupled data and meta data fashion, is being employed frantically to build large-scale distributed storage system for performance and capacity. To design this hot commodity on flexibly managing the extracted dat...
 
Ranking community answers by modeling question-answer relationships via analogical reasoning
Found in: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '09)
By Dan Feng, Lei Zhang, Xin-Jing Wang, Xudong Tu
Issue Date:July 2009
pp. 435-435
The method of finding high-quality answers has significant impact on user satisfaction in community question answering systems. However, due to the lexical gap between questions and answers as well as spam typically existing in user-generated content, filt...
     
Ranking community answers via analogical reasoning
Found in: Proceedings of the 18th international conference on World wide web (WWW '09)
By Dan Feng, Lei Zhang, Xin-Jing Wang, Xudong Tu
Issue Date:April 2009
pp. 66-66
Due to the lexical gap between questions and answers, automatically detecting right answers becomes very challenging for community question-answering sites. In this paper, we propose an analogical reasoning-based method. It treats questions and answers as ...
     
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