Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 739-740 |
| Number of pages | 2 |
| ISBN (print) | 1595935975, 9781595935977 |
| Publication status | Published - 23 Jul 2007 |
| 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 |
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.
Keywords
- Lexical log analysis, Query reformulation model
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Computer Science(all)
- Software
- Mathematics(all)
- Applied Mathematics
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Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07. Association for Computing Machinery (ACM), 2007. p. 739-740.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Lexical analysis for modeling web query reformulation
AU - Bozzon, Alessandro
AU - Chirita, Paul Alexandru
AU - Firan, Claudiu S.
AU - Nejdl, Wolfgang
PY - 2007/7/23
Y1 - 2007/7/23
N2 - 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.
AB - 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.
KW - Lexical log analysis
KW - Query reformulation model
UR - http://www.scopus.com/inward/record.url?scp=36448941166&partnerID=8YFLogxK
U2 - 10.1145/1277741.1277885
DO - 10.1145/1277741.1277885
M3 - Conference contribution
AN - SCOPUS:36448941166
SN - 1595935975
SN - 9781595935977
SP - 739
EP - 740
BT - Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
PB - Association for Computing Machinery (ACM)
T2 - 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Y2 - 23 July 2007 through 27 July 2007
ER -