Site-based dynamic pruning for query processing in search engines
Date
2008-07
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Abstract
Web search engines typically index and retrieve at the page level. In this study, we investigate a dynamic pruning strategy that allows the query processor to first determine the most promising websites and then proceed with the similarity computations for those pages only within these sites.
Source Title
ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings
Publisher
ACM
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Keywords
Cluster-skipping, Dynamic query pruning, Inverted index, Computer software, Information retrieval, Information services, Query processing, Research and development management, Search engines, Websites, Cluster-skipping, Dynamic query pruning, Inverted index, Page levels, Pruning strategies, Query processors, Similarity computations, Web search engines, World Wide Web
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Language
English