Evolutionary reinforcement of user models in an adaptive search engine

S. Maleki-Dizaji, Zulaiha Ali Othman, H. O. Nyongesa, J. Siddiqi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The volume and variety of the Internet information is exponentially grows and therefore causes difficulties for a user to obtain information that accurately matches of the user interested. Several combination techniques are used to achieve the precise goal. This is due, firstly, to the fact that users often do not present queries to information retrieval systems that optimally represent the information they want, and secondly, the measure of a document's relevance is highly subjective and variable between different users. We address this problem with an approach that relies on evolutionary user-modelling, in order to retrieve domain-specific information. We describe an adaptive information retrieval system that learns user needs from user-provided relevance feedback. The method combines qualitative feedback measures using fuzzy inference, and quantitative feedback using genetic algorithms (GA) fitness measures. We utilise the multiagent design approach for designing an information retrieval system (IRS). The system consists of following combination of complex processes: document indexing, learning strategic for relevant feedback and user modelling using genetic algorithm, filtering and ranking the retrieve documents based on the user model. We show the design of the IRS consists of several agents that cooperate with each other and may perform in parallel to achieve the system goal.

Original languageEnglish
Title of host publicationProceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages706-709
Number of pages4
ISBN (Electronic)0769519326, 9780769519326
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventIEEE/WIC International Conference on Web Intelligence, WI 2003 - Halifax, Canada
Duration: 13 Oct 200317 Oct 2003

Other

OtherIEEE/WIC International Conference on Web Intelligence, WI 2003
CountryCanada
CityHalifax
Period13/10/0317/10/03

Fingerprint

Information retrieval systems
Search engines
Reinforcement
Feedback
Genetic algorithms
Fuzzy inference
Internet
Evolutionary
Search engine
Information retrieval

Keywords

  • Biological cells
  • Frequency
  • Indexing
  • Information filtering
  • Information filters
  • Information retrieval
  • Internet
  • Output feedback
  • Search engines
  • Service oriented architecture

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Information Systems and Management

Cite this

Maleki-Dizaji, S., Ali Othman, Z., Nyongesa, H. O., & Siddiqi, J. (2003). Evolutionary reinforcement of user models in an adaptive search engine. In Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003 (pp. 706-709). [1241301] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WI.2003.1241301

Evolutionary reinforcement of user models in an adaptive search engine. / Maleki-Dizaji, S.; Ali Othman, Zulaiha; Nyongesa, H. O.; Siddiqi, J.

Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 706-709 1241301.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Maleki-Dizaji, S, Ali Othman, Z, Nyongesa, HO & Siddiqi, J 2003, Evolutionary reinforcement of user models in an adaptive search engine. in Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003., 1241301, Institute of Electrical and Electronics Engineers Inc., pp. 706-709, IEEE/WIC International Conference on Web Intelligence, WI 2003, Halifax, Canada, 13/10/03. https://doi.org/10.1109/WI.2003.1241301
Maleki-Dizaji S, Ali Othman Z, Nyongesa HO, Siddiqi J. Evolutionary reinforcement of user models in an adaptive search engine. In Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 706-709. 1241301 https://doi.org/10.1109/WI.2003.1241301
Maleki-Dizaji, S. ; Ali Othman, Zulaiha ; Nyongesa, H. O. ; Siddiqi, J. / Evolutionary reinforcement of user models in an adaptive search engine. Proceedings - IEEE/WIC International Conference on Web Intelligence, WI 2003. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 706-709
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