Personalization of Search Engine Services for Effective Retrieval and Knowledge Management

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{WeiguoFan:2000:icis,
  author =       "Weiguo Fan and Michael D. Gordon and Praveen Pathak",
  title =        "Personalization of Search Engine Services for
                 Effective Retrieval and Knowledge Management",
  booktitle =    "The Proceedings of the International Conference on
                 Information Systems 2000",
  year =         "2000",
  pages =        "20--34",
  keywords =     "genetic algorithms, genetic programming, information
                 retrieval",
  URL =          "http://filebox.vt.edu/users/wfan/paper/icis_final.pdf",
  abstract =     "The Internet and corporate intranets provide far more
                 information than anybody can absorb. People use search
                 engines to find the information they require. However,
                 these systems tend to use only one fixed term weighting
                 strategy regardless of the context to which it applies,
                 posing serious performance problems when
                 characteristics of different users, queries, and text
                 collections are taken into consideration. In this
                 paper, we argue that the term weighting strategy should
                 be context specific, that is, different term weighting
                 strategies should be applied to different contexts, and
                 we propose a new systematic approach that can
                 automatically generate term weighting strategies for
                 different contexts based on genetic programming (GP).
                 The new proposed framework was tested on TREC data and
                 the results are very promising.",
}

Genetic Programming entries for Weiguo Fan Michael D Gordon Praveen Pathak

Citations