Title
Clustering Similar Query Sessions Toward Interactive Web Search
Abstract
A new effective log-based approach for interactive Web search is presented in this paper. The most important feature of the proposed approach is that the suggested terms corresponding to the user's query are extracted from similar query sessions, rather than from the contents of the retrieved documents. The experiment results demonstrate that this approach has a great potential in developing more effective web search utilities and may inspire more studies on advanced log mining mechanisms.
Year
Venue
DocType
2000
ROCLING
Conference
Citations 
PageRank 
References 
1
0.36
5
Authors
3
Name
Order
Citations
PageRank
Chien-Kang Huang115011.52
Lee-Feng Chien2114292.96
Yen-Jen Oyang342348.82