Re-ranking question search results by clustering questions

  • Authors:

  • Yunbo Cao;Huizhong Duan;Chin-Yew Lin;Yong Yu

  • Affiliations:

  • Department of Computer Science, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China and Web Intelligence Group, Microsoft Research Asia, Beijing 100190, People's Republic of ...;Department of Computer Science, University of Illinois, Urbana-Champaign, Urbana, Illinois 61801;Web Intelligence Group, Microsoft Research Asia, Beijing 100190, People's Republic of China;Department of Computer Science, Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China

  • Venue:
  • Journal of the American Society for Information Science and Technology
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this article, we address the problem of question clustering and study its use for re-ranking question search results. In question clustering we have to organize question search results into certain meaningful and condensed groups. Specifically, we propose to use a data structure consisting of question topic and question focus for modeling questions, and then cluster questions on the basis of the data structure. Experimental results show that our approach to question clustering improves the performance of question search significantly better than the approach not utilizing the topic–focus structure. © 2011 Wiley Periodicals, Inc.