Automatic generation of matching functions by genetic programming for effective information retrieval

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

@InProceedings{WeigueFan:1999:agmfGPeir,
  author =       "Weiguo Fan and Michael D. Gordon and Praveen Pathak",
  title =        "Automatic generation of matching functions by genetic
                 programming for effective information retrieval",
  booktitle =    "Proceedings of the 1999 Americas Conference on
                 Information Systems",
  year =         "1999",
  editor =       "W. David Haseman and Derek L. Nazareth",
  pages =        "49--51",
  address =      "Milwaukee, WI, USA",
  month =        "13-15 " # aug,
  organisation = "Association for Information Systems",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://filebox.vt.edu/users/wfan/paper/Amcis_final.pdf",
  size =         "3 pages",
  abstract =     "With the advent of the Internet, online resources are
                 increasingly available. Many users choose popular
                 search engines to perform an online search to satisfy
                 their information need. However, these search engines
                 tend to turn up many non-relevant documents, which make
                 their retrieval precision very low. How to find
                 appropriate ranking metrics to retrieve more relevant
                 documents and fewer non-relevant documents for users
                 remains a big challenge to the information retrieval
                 community. In this paper, we propose a new framework
                 that combines the merits of genetic programming and
                 relevance feedback techniques to automatically generate
                 and refine the matching functions used for document
                 ranking. This approach overcomes the shortcoming of
                 traditional ranking algorithms using a fixed ranking
                 strategy. It also gives some new ideas and hints for
                 information retrieval professionals.",
  notes =        "AMCIS99
                 https://commerce.mindspring.com/www.icisnet.org/proc.html

                 Prototype implemented in C. Fitness based on user
                 feedback

                 Duplicate entry \cite{Fan:1999:AMCIS} removed 21 Oct
                 2006",
}

Genetic Programming entries for Weiguo Fan Michael D Gordon Praveen Pathak

Citations