Site-based dynamic pruning for query processing in search engines

Ismail Sengör Altingövde, Engin Demir, Fazli Can, Özgür Ulusoy

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.