A two stage integrated model for intelligent information routing

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

@Article{Fan2004dsstwostage,
  author =       "Weiguo Fan and Michael D. Gordon and Praveen Pathak",
  title =        "A two stage integrated model for intelligent
                 information routing",
  journal =      "Decision Support Systems",
  year =         "2006",
  volume =       "42",
  number =       "1",
  pages =        "362--374",
  month =        oct,
  keywords =     "genetic algorithms, genetic programming, Information
                 Routing, Information Retrieval, Personalization, Text
                 Mining",
  abstract =     "A recent surge of subscriptions to online news
                 services exemplifies the fact that people and
                 organizations constantly need up-to-date information to
                 stay competitive and make better informed decisions.
                 However, many of these news services often require
                 users to either manually input their profiles or
                 subscribe to existing news channel. This results in
                 lack of intelligence and personalization, and thus make
                 them less attractive to users. In this paper, an
                 integrated model that combines query expansion with
                 ranking function adaptation for online information
                 routing is proposed and tested using two different
                 large scale corpora. The experimental results show that
                 this new model can deliver much better quality
                 information than existing models.",
  URL =          "http://filebox.vt.edu/users/wfan/pub_area.html",
  DOI =          "doi:10.1016/j.dss.2005.01.007",
}

Genetic Programming entries for Weiguo Fan Michael D Gordon Praveen Pathak

Citations