Journal of the American Society for Information Science
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Modern Information Retrieval
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
Introduction to Information Retrieval
Introduction to Information Retrieval
Swarming to rank for information retrieval
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Mutli-agent System for Personalizing Information Source Selection
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Bees Swarm Optimization Based Approach for Web Information Retrieval
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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When dealing with large scale applications, data sets are huge and very often not obvious to tackle with traditional approaches. In web information retrieval, the greater the number of documents to be searched, the more powerful approach required. In this work, we develop document search processes based on particle swarm optimization and show that they improve the performance of information retrieval in the web context. Two novel PSO algorithms namely PSO1-IR and PSO2-IR are designed for this purpose. Extensive experiments were performed on CACM and RCV1 collections. The achieved results exhibit the superiority of PSO2-IR on all the others in terms of scalability while yielding comparable quality.