Discovery of context-specific ranking functions for effective information retrieval using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Fan2003a,
  author =       "Weiguo Fan and Michael D. Gordon and Praveen Pathak",
  title =        "Discovery of context-specific ranking functions for
                 effective information retrieval using genetic
                 programming",
  journal =      "IEEE Transactions on Knowledge and Data Engineering",
  year =         "2004",
  volume =       "16",
  number =       "4",
  pages =        "523--527",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming, data mining,
                 information retrieval, search engines, tree data
                 structures, Internet, TREC data, context-specific
                 ranking function discovery, corporate intranets, fixed
                 ranking strategy, information routing, intelligent
                 contextual information retrieval, search engines, term
                 weighting strategy, text mining",
  ISSN =         "1041-4347",
  DOI =          "doi:10.1109/TKDE.2004.1269663",
  size =         "5 pages",
  abstract =     "The Internet and corporate intranets have brought a
                 lot of information. People usually resort to search
                 engines to find required information. However, these
                 systems tend to use only one fixed ranking strategy
                 regardless of the contexts. This poses serious
                 performance problems when characteristics of different
                 users, queries, and text collections are taken into
                 account. We argue that the ranking strategy should be
                 context specific and we propose a , new systematic
                 method that can automatically generate ranking
                 strategies for different contexts based on genetic
                 programming (GP). The new method was tested on TREC
                 data and the results are very promising.",
  notes =        "http://filebox.vt.edu/users/wfan/pub_area.html",
}

Genetic Programming entries for Weiguo Fan Michael D Gordon Praveen Pathak

Citations