Abstract
The present work is related to Web intelligence and more precisely to Wisdom Web foraging. The idea is to learn the localization of the most relevant Web surfing path that might interest the user. We propose a novel approach based on bees behaviour for information foraging. We implemented the system using a colony of cooperative reactive agents. In order to validate our proposal, experiments were conducted on MedlinePlus, a benchmark dedicated for research in the domain of Health. The results are promising either for those related to some Web regularities and for the response time, which is very short and hence complies with the real time constraint.
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Drias, Y., Kechid, S. (2014). Bees Swarm Optimization for Web Information Foraging. In: Prasath, R., O’Reilly, P., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8891. Springer, Cham. https://doi.org/10.1007/978-3-319-13817-6_20
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DOI: https://doi.org/10.1007/978-3-319-13817-6_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13816-9
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