The effects of fitness functions on genetic programming-based ranking discovery for web search

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

@Article{Fan2004jasist,
  author =       "Weiguo Fan and Edward A. Fox and Praveen Pathak and 
                 Harris Wu",
  title =        "The effects of fitness functions on genetic
                 programming-based ranking discovery for web search",
  journal =      "Journal of the American Society for Information
                 Science and Technology",
  year =         "2004",
  volume =       "55",
  number =       "7",
  pages =        "628--636",
  keywords =     "genetic algorithms, genetic programming, ranking
                 function, text mining, web search, information
                 retrieval",
  URL =          "http://filebox.vt.edu/users/wfan/paper/ARRANGER/JASIST2004.pdf",
  DOI =          "doi:10.1002/asi.20009",
  abstract =     "Genetic-based evolutionary learning algorithms, such
                 as genetic algorithms (GAs) and genetic programming
                 (GP), have been applied to information retrieval (IR)
                 since the 1980s. Recently, GP has been applied to a new
                 IR task- discovery of ranking functions for Web
                 search-and has achieved very promising results.
                 However, in our prior research, only one fitness
                 function has been used for GP-based learning. It is
                 unclear how other fitness functions may affect ranking
                 function discovery for Web search, especially since it
                 is well known that choosing a proper fitness function
                 is very important for the effectiveness and efficiency
                 of evolutionary algorithms. In this article, we report
                 our experience in contrasting different fitness
                 function designs on GP-based learning using a very
                 large Web corpus. Our results indicate that the design
                 of fitness functions is instrumental in performance
                 improvement. We also give recommendations on the design
                 of fitness functions for genetic-based information
                 retrieval experiments.",
}

Genetic Programming entries for Weiguo Fan Edward A Fox Praveen Pathak Harris Wu

Citations