Search Result Clustering Using Label Language Model
Yeha Lee, Seung‐Hoon Na, Jong-Hyeok Lee · 2008
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 annotates 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 clustering labels of search results. 1