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Recommending questions using the mdl-based tree cut model

14 years 4 months ago
Recommending questions using the mdl-based tree cut model
The paper is concerned with the problem of question recommendation. Specifically, given a question as query, we are to retrieve and rank other questions according to their likelihood of being good recommendations of the queried question. A good recommendation provides alternative aspects around users' interest. We tackle the problem of question recommendation in two steps: first represent questions as graphs of topic terms, and then rank recommendations on the basis of the graphs. We formalize both steps as the tree-cutting problems and then employ the MDL (Minimum Description Length) for selecting the best cuts. Experiments have been conducted with the real questions posted at Yahoo! Answers. The questions are about two domains, `travel' and `computers & internet'. Experimental results indicate that the use of the MDL-based tree cut model can significantly outperform the baseline methods of word-based VSM or phrasebased VSM. The results also show that the use of th...
Yunbo Cao, Huizhong Duan, Chin-Yew Lin, Yong Yu, H
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2008
Where WWW
Authors Yunbo Cao, Huizhong Duan, Chin-Yew Lin, Yong Yu, Hsiao-Wuen Hon
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