Introducing lateral thinking in search engines

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

@Article{Landrin-Schweitzer:2006:GPEM,
  author =       "Yann Landrin-Schweitzer and Pierre Collet and 
                 Evelyne Lutton",
  title =        "Introducing lateral thinking in search engines",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2006",
  volume =       "7",
  number =       "1",
  pages =        "9--31",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1389-2576",
  URL =          "http://metronum.inria.fr/html/Papers/files/pdf/170_Elise-v9-expedieGPEM.pdf",
  DOI =          "doi:10.1007/s10710-006-7008-z",
  size =         "23 pages",
  abstract =     "Decomposing a very complex problem into smaller
                 subproblems that are much easier to solve is not a new
                 idea. The {"}Parisian Approach{"}[9] applies this
                 principle extensively to shatter complexity by cutting
                 down the original problem into many small subproblems
                 that are then globally optimised thanks to an
                 evolutionary algorithm. This paper describes how this
                 approach has been used to interactively evolve a user
                 profile to be used by a search engine. User queries are
                 rewritten thanks to the evolved profile, resulting in
                 an increased diversity in the retrieved documents that
                 is showing an interesting property: even though
                 precision is lost, retrieved documents relate both to
                 the user's query and to his areas of interest in a
                 manner that evokes {"}lateral thinking{"}. This paper
                 describes ELISE, an Evolutionary Learning Interactive
                 Search Engine that interactively evolves rewriting
                 modules and rules (some kind of elaborated user
                 profile) along a Parisian Approach. Results obtained
                 over a public domain benchmark (Cystic Fibrosis
                 Database) are presented and discussed.",
  notes =        "synset, SWISH++ P27 'ELISE show that bloat does not
                 appear'",
}

Genetic Programming entries for Yann Landrin-Schweitzer Pierre Collet Evelyne Lutton

Citations