Site-based dynamic pruning for query processing in search engines
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/26759
ACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedings
- Conference Paper 
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.
Showing items related by title, author, creator and subject.
Static index pruning in web search engines: Combining term and document popularities with query views Altingovde I.S.; Ozcan, R.; Ulusoy O. (2012)Static index pruning techniques permanently remove a presumably redundant part of an inverted file, to reduce the file size and query processing time. These techniques differ in deciding which parts of an index can be ...
Ünel G.; Dönderler, M.E.; Ulusoy O.; Güdükbay, U. (2004)The interest for multimedia database management systems has grown rapidly due to the need for the storage of huge volumes of multimedia data in computer systems. An important building block of a multimedia database system ...
Şaykol, E.; Güdükbay, U.; Ulusoy O. (2005)Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized ...