Evolving Co-occurrence Based Query Expansion Schemes in Information Retrieval Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Ronan Cummins and Colm O'Riordan",
  title =        "Evolving Co-occurrence Based Query Expansion Schemes
                 in Information Retrieval Using Genetic Programming",
  booktitle =    "The 16th Irish conference on Artificial Intelligence
                 and Cognitive Science (AICS05)",
  year =         "2005",
  editor =       "Norman Creaney",
  pages =        "137--146",
  address =      "School of Computing and Information Engineering,
                 University of Ulster",
  publisher_address = "Cromore Road, Coleraine, BT52 1SA, UK",
  month =        "7-9 " # sep,
  publisher =    "University of Ulster",
  keywords =     "genetic algorithms, genetic programming, information
                 retrieval, query expansion",
  ISBN =         "1-85923-197-7",
  URL =          "http://www.infc.ulst.ac.uk/~norman/aics05/AICS05_Proceedings_V3.pdf",
  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.",
  notes =        "http://www.infc.ulst.ac.uk/~norman/aics05/",

Genetic Programming entries for Ronan Cummins Colm O'Riordan