Web Search Relevance Ranking
- Marc Najork
in Encyclopedia of Database Systems
Published by Springer Verlag | 2009 | Encyclopedia of Database Systems edition
Web search engines return lists of web pages sorted by the page’s relevance to the user query. The problem with web search relevance ranking is to estimate relevance of a page to a query. Nowadays, commercial web-page search engines combine hundreds of features to estimate relevance. The specific features and their mode of combination are kept secret to fight spammers and competitors. Nevertheless, the main types of features at use, as well as the methods for their combination, are publicly known and are the subject of scientific investigation.
All copyrights reserved by Springer 2009. This entry has been published in the Encyclopedia of Database Systems by Springer. The Encyclopedia, under the editorial guidance of Ling Liu and M. Tamer Ã–zsu, is a multiple volume, comprehensive, and authoritative reference on databases, data management, and database systems. Since it is available in both print and online formats, researchers, students, and practitioners benefit from advanced search functionality and convenient interlinking possibilities with related online content. The Encyclopedia's online version is accessible on the platform SpringerLink. Visit http://www.springer.com/computer/database+management++information+retrieval/book/978-0-387-49616-0 for more information about the Encyclopedia of Database Systems.