@inproceedings{cummins:2005:AICS,
	title = {Evolving Co-occurrence Based Query Expansion Schemes
                 in Information Retrieval Using Genetic Programming},
	address = {School of Computing and Information Engineering,
                 University of Ulster},
	author = {Ronan Cummins and Colm O'Riordan},
	booktitle = {The 16th Irish conference on Artificial Intelligence
                 and Cognitive Science (AICS05)},
	editor = {Norman Creaney},
	month = {7-9 September},
	pages = {137--146},
	publisher = {University of Ulster},
	url = {http://www.infc.ulst.ac.uk/~norman/aics05/AICS05_Proceedings_V3.pdf},
	year = {2005},
	biburl = {http://www.bibsonomy.org/bibtex/2b663f368c40723a12b02c8d9fd7e5e1e/brazovayeye},
	abstract = {Global query expansion techniques have long been
                 proposed as a solution to overcome the problem of term
                 mismatch between a query and its relevant documents.
                 This paper describes a method which automatically
                 tackles the problems of how to find the best terms for
                 the expansion of a particular query and secondly, how
                 to weight these terms for use with the original query.
                 Genetic Programming is used to evolve schemes for term
                 selection using global (collection-wide) co-occurrence
                 measures. The schemes evolved are also used to weight
                 the term in the expanded query as they are a measure of
                 the term's importance in relation to the query. As a
                 result, the genetic program has to learn a suitable
                 scheme for identifying the best correlates for the
                 query concept and also a scheme that correctly weights
                 these in relation to each other. These schemes are
                 tested on standard test collections and show a
                 significant increase in performance on the training
                 data but only modest improvement on the collections
                 that are not included in training.},
	publisher_address = {Cromore Road, Coleraine, BT52 1SA, UK}, isbn = {1-85923-197-7}, notes = {http://www.infc.ulst.ac.uk/~norman/aics05/},
	keywords = {algorithms, expansion genetic information programming, query retrieval, }
}