ABSTRACT
Modeling Web query reformulation processes is still an unsolved problem. In this paper we argue that lexical analysis is highly beneficial for this purpose. We propose to use the variation in Query Clarity, as well as the Part-Of-Speech pattern transitions as indicators of user's search actions. Experiments with a log of 2.4 million queries showed our techniques to be more flexible than the current approaches, while also providing us with interesting insights into user's Web behavioral patterns.
- Steve Cronen-Townsend, Yun Zhou, and W. Bruce Croft. Predicting query performance. In Proc. of the 25th Intl. ACM SIGIR Conf. on Research and Development in Inf. Retr., 2002. Google ScholarDigital Library
- Rosie Jones and Daniel C. Fain. Query word deletion prediction. In Proc. of the 26th Intl. ACM SIGIR Conf., 2003. Google ScholarDigital Library
- Tessa Lau and Eric Horvitz. Patterns of search: Analyzing and modeling web query refinement. In Proc. of the 7th Intl. Conf. on User Modeling, 1999. Google ScholarDigital Library
- Amanda Spink, Dietmar Wolfram, Major B. J. Jansen, and Tefko Saracevic. Searching the web: the public and their queries. J. Amer. Soc. Inf. Sci. Technol., 52(3):226--234, 2001. Google ScholarDigital Library
Index Terms
- Lexical analysis for modeling web query reformulation
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