Site-based dynamic pruning for query processing in search engines
ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings
861 - 862
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/26759
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.
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