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.
Original language | English |
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Title of host publication | SIGIR'07 |
Subtitle of host publication | Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval |
Pages | 739-740 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands Duration: 23 Jul 2007 → 27 Jul 2007 |
Conference
Conference | 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 |
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Country/Territory | Netherlands |
City | Amsterdam |
Period | 23/07/07 → 27/07/07 |
Keywords
- Lexical log analysis
- Query reformulation model