creators_name: Qu, Mingcheng creators_name: Qiu, Guang creators_name: He, Xiaofei creators_name: Zhang, Cheng creators_name: Wu, Hao creators_name: Bu, Jiajun creators_name: Chen, Chun type: conference_item datestamp: 2009-04-06 19:14:38 lastmod: 2009-04-14 04:37:13 metadata_visibility: show title: Probabilistic Question Recommendation for Question Answering Communities ispublished: pub full_text_status: public pres_type: poster abstract: 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 pagerange: 1229-1229 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Qu, Mingcheng and Qiu, Guang and He, Xiaofei and Zhang, Cheng and Wu, Hao and Bu, Jiajun and Chen, Chun (2009) Probabilistic Question Recommendation for Question Answering Communities. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/195/1/p1229.pdf