Question recommendation for user-interactive question answering systems

Authors:
Dawei Hu;Shenhua GU;Shitong Wang;Liu Wenyin;Enhong Chen
Affiliations:
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;City University of Hong Kong, Hong Kong, China and Shanghai Jiao Tong University, Shanghai, China;City University of Hong Kong, Hong Kong, China;CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China;CityU-USTC Advanced Research Institute, Suzhou, China and University of Science & Technology of China, Hefei, China
Venue:
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Year:
2008

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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.