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Using concept hierarchies to enhance user queries in web-based information retrieval (2004)
| Venue: | in Proceedings of the International Conference on Artificial Intelligence and Applications, IASTED 2004 |
| Citations: | 19 - 6 self |
BibTeX
@INPROCEEDINGS{Sieg04usingconcept,
author = {Ahu Sieg and Bamshad Mobasher and Steve Lytinen and Robin Burke},
title = {Using concept hierarchies to enhance user queries in web-based information retrieval},
booktitle = {in Proceedings of the International Conference on Artificial Intelligence and Applications, IASTED 2004},
year = {2004}
}
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Abstract
The effectiveness of Internet search engines is often hampered by the ambiguity of user queries and the reluctance or inability of users to build less ambiguous multi-word queries. Neither simple query expansion techniques nor enhanced indexing mechanisms have been satisfactory in addressing the problem of query ambiguity, because these methods do not consider the user context or knowledge of the problem domain. Our system, ARCH, is a client- side Web agent, which incorporates domain-specific concept hierarchies together with interactive query formulation in order to automatically produce a richer and therefore less ambiguous query. ARCH uses the domain knowledge inherent in Web-based classification hierarchies such as Yahoo, combined with a user’s profile information, to add just those terms likely to improve the match with the user’s intent. We present a detailed evaluation of the query enhancement in ARCH, comparing enhanced and non-enhanced queries over a range of topics. Our results show that concept-based query enhancement in ARCH leads to significantly higher precision for ambiguous queries without sacrificing recall. 1
Keyphrases
user query web-based information retrieval concept hierarchy ambiguous query non-enhanced query query ambiguity ambiguous multi-word query web-based classification hierarchy user profile information client side web agent problem domain enhanced indexing mechanism query enhancement user context detailed evaluation simple query expansion technique internet search engine user intent domain knowledge interactive query formulation domain-specific concept hierarchy concept-based query enhancement
