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A PSO-Based Web Document Query Optimization Algorithm

  • Ziqiang Wang
  • Xin Li
  • Dexian Zhang
  • Feng Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)

Abstract

The particle swarm optimization(PSO) algorithm is a robust stochastic evolutionary algorithm based on the movement and intelligence of swarms.To efficiently retrieve relevant documents from the explosive growth of the Internet and other sources of information access,a PSO-based algorithm for Web document query optimization is presented. Experimental results show that the proposed algorithm can improve the precision of document retrieval markedly compared with relevant feedback and genetic algorithm.

Keywords

Particle Swarm Optimization Information Retrieval Particle Swarm Optimization Algorithm Relevant Feedback Query Optimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ziqiang Wang
    • 1
  • Xin Li
    • 1
  • Dexian Zhang
    • 1
  • Feng Wu
    • 1
  1. 1.School of Information Science and EngineeringHenan University of TechnologyZheng ZhouChina

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