Finding dimensions for queries

Authors:
Zhicheng Dou;Sha Hu;Yulong Luo;Ruihua Song;Ji-Rong Wen
Affiliations:
Microsoft Research Asia, Beijing, China;Renmin University of China, Beijing, China;Shanghai Jiaotong University, Shanghai, China;Microsoft Research Asia, Beijing, China;Microsoft Research Asia, Beijing, China
Venue:
Proceedings of the 20th ACM international conference on Information and knowledge management
Year:
2011

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Abstract

We address the problem of finding multiple groups of words or phrases that explain the underlying query facets, which we refer to as query dimensions. We assume that the important aspects of a query are usually presented and repeated in the query's top retrieved documents in the style of lists, and query dimensions can be mined out by aggregating these significant lists. Experimental results show that a large number of lists do exist in the top results, and query dimensions generated by grouping these lists are useful for users to learn interesting knowledge about the queries.