Using genetic programming for information retrieval: Local and global query expansion

Ronan Cummins, Colm O'Riordan

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

1 Citation (Scopus)

Abstract

This poster presents results for two approaches using Genetic Programming (GP) to overcome the problem of term mismatch in Information Retrieval (IR). We use automatic query expansion techniques which add terms to a user's initial query in the hope that these words better describe the information need and ultimately return more relevant documents to the user.

Original languageEnglish
Title of host publicationProceedings of GECCO 2007
Subtitle of host publicationGenetic and Evolutionary Computation Conference
Pages2255
Number of pages1
DOIs
Publication statusPublished - 2007
Event9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007 - London, United Kingdom
Duration: 7 Jul 200711 Jul 2007

Publication series

NameProceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

Conference

Conference9th Annual Genetic and Evolutionary Computation Conference, GECCO 2007
Country/TerritoryUnited Kingdom
CityLondon
Period7/07/0711/07/07

Keywords

  • Genetic programming
  • Information retrieval
  • Query-expansion

Fingerprint

Dive into the research topics of 'Using genetic programming for information retrieval: Local and global query expansion'. Together they form a unique fingerprint.

Cite this