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

Published: 07 July 2007 Publication History

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.

References

[1]
Ronan Cummins and Colm O'Riordan. Evolving co-occurrence based query expansion schemes in information retrieval using genetic programming. In Norman Creaney, editor, AICS 2005, pages 137--146, University of Ulster, 7--9 September 2005.
[2]
Ronan Cummins and Colm O'Riordan. Evolving term-selection schemes for pseudo-relevance feedback in information retrieval. Technical Report NUIG-IT-201205, National University of Ireland, Galway, Ireland, 2005.

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  • (2010)Evolutionary improvement of search queries and its parameters2010 10th International Conference on Hybrid Intelligent Systems10.1109/HIS.2010.5600018(147-152)Online publication date: Aug-2010

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      cover image ACM Conferences
      GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
      July 2007
      2313 pages
      ISBN:9781595936974
      DOI:10.1145/1276958

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 07 July 2007

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      Author Tags

      1. genetic programming
      2. information retrieval
      3. query-expansion

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      GECCO '07 Paper Acceptance Rate 266 of 577 submissions, 46%;
      Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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      • (2010)Evolutionary improvement of search queries and its parameters2010 10th International Conference on Hybrid Intelligent Systems10.1109/HIS.2010.5600018(147-152)Online publication date: Aug-2010

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