title: Probabilistic Question Recommendation for Question Answering Communities
creator: Qu, Mingcheng
creator: Qiu, Guang
creator: He, Xiaofei
creator: Zhang, Cheng
creator: Wu, Hao
creator: Bu, Jiajun
creator: Chen, Chun
description: User-Interactive Question Answering (QA) communities such as Yahoo! Answers are growing in popularity. However, as these QA sites always have thousands of new questions posted daily, it is difficult for users to find the questions that are of interest to them. Consequently, this may delay the answering of the new questions. This gives rise to question recommendation techniques that help users locate interesting questions. In this paper, we adopt the Probabilistic Latent Semantic Analysis (PLSA) model for question recommendation and propose a novel metric to evaluate the performance of our approach. The experimental results show our recommendation approach is effective.
date: 2009-04
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
identifier: http://www2009.eprints.org/195/1/p1229.pdf
identifier: Qu, Mingcheng <http://www2009.eprints.org/view/author/Qu=3AMingcheng=3A=3A.html> and Qiu, Guang <http://www2009.eprints.org/view/author/Qiu=3AGuang=3A=3A.html> and He, Xiaofei <http://www2009.eprints.org/view/author/He=3AXiaofei=3A=3A.html> and Zhang, Cheng <http://www2009.eprints.org/view/author/Zhang=3ACheng=3A=3A.html> and Wu, Hao <http://www2009.eprints.org/view/author/Wu=3AHao=3A=3A.html> and Bu, Jiajun <http://www2009.eprints.org/view/author/Bu=3AJiajun=3A=3A.html> and Chen, Chun <http://www2009.eprints.org/view/author/Chen=3AChun=3A=3A.html> (2009) Probabilistic Question Recommendation for Question Answering Communities. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain.
relation: http://www2009.eprints.org/195/