Discovering Ranking Functions for Information Retrieval

Discovering Ranking Functions for Information Retrieval

Weiguo Fan (Virginia Polytechnic Institute and State University, USA) and Praveen Pathak (University of Florida, USA)
Copyright: © 2005 |Pages: 5
DOI: 10.4018/978-1-59140-557-3.ch072
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Abstract

The field of information retrieval deals with finding relevant documents from a large document collection or the World Wide Web in response to a user’s query seeking relevant information. Ranking functions play a very important role in the retrieval performance of such retrieval systems and search engines. A single ranking function does not perform well across different user queries, and document collections. Hence it is necessary to “discover” a ranking function for a particular context. Adaptive algorithms like genetic programming (GP) are well suited for such discovery.

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