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Re‐ranking question search results by clustering questions

Author

Listed:
  • Yunbo Cao
  • Huizhong Duan
  • Chin‐Yew Lin
  • Yong Yu

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.

Suggested Citation

  • Yunbo Cao & Huizhong Duan & Chin‐Yew Lin & Yong Yu, 2011. "Re‐ranking question search results by clustering questions," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(6), pages 1177-1187, June.
    • Handle: RePEc:bla:jamist:v:62:y:2011:i:6:p:1177-1187
    DOI: 10.1002/asi.21529
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