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Question recommendation for user-interactive question answering systems
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Conference On Ubiquitous Information Management And Communication archive
Proceedings of the 2nd international conference on Ubiquitous information management and communication table of contents
Suwon, Korea
SESSION: Intelligent systems table of contents
Pages 39-44  
Year of Publication: 2008
ISBN:978-1-59593-993-7
Authors
Dawei Hu  CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China and University of Science & Technology of China, Hefei, China
Shenhua GU  City University of Hong Kong, Hong Kong, China and Shanghai Jiao Tong University, Shanghai, China
Shitong Wang  City University of Hong Kong, Hong Kong, China
Liu Wenyin  CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China
Enhong Chen  CityU-USTC Advanced Research Institute, Suzhou, China and University of Science & Technology of China, Hefei, China
Sponsors
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

A balanced question recommendation mechanism for user-interactive question answering (QA) systems is proposed to automatically recommend a new question to suitable users to answer. In this mechanism, a user modeling method is used to estimate the interests and professional areas of each user so that we can choose suitable users to answer a given question. To make most questions be answered in time, a load balancing component is used to balance the work of each user. Moreover, a question priority queue is maintained to ensure the important questions to be recommended earlier. Preliminary experiments show our proposed mechanism's accuracy in question recommendation and efficacy in load balancing for all users.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Wenyin, L.: BuyAns---An Incentive & Collaborative Platform for Knowledge Acquisition. Proc. of 2nd International Conference on Semantics, Knowledge and Grid (SKG'06), GuiLin, 2006.
 
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BuyAns, http://www.buyans.com/
 
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Collaborative Colleagues:
Dawei Hu: colleagues
Shenhua GU: colleagues
Shitong Wang: colleagues
Liu Wenyin: colleagues
Enhong Chen: colleagues