Paper: Search Result Clustering Using Label Language Model

ACL ID I08-2085
Title Search Result Clustering Using Label Language Model
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

Search results clustering helps users to browse the search results and locate what they are looking for. In the search result clustering, the label selection which anno- tates a meaningful phrase for each cluster becomes the most fundamental issue. In this paper, we present a new method of using the language modeling approach over Dmoz for label selection, namely label language model. Experimental results show that our method is helpful to obtain meaningful clus- tering labels of search results.