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6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing

Research Article

A recommender system based on the collaborative behavior of bird flocks

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2010.11,
        author={Esin Saka and Olfa Nasraoui},
        title={A recommender system based on the collaborative behavior of bird flocks},
        proceedings={6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing},
        publisher={IEEE},
        proceedings_a={COLLABORATECOM},
        year={2011},
        month={5},
        keywords={Swarm intelligence recommender system collaborative filtering flocks of agents bird flocks},
        doi={10.4108/icst.collaboratecom.2010.11}
    }
    
  • Esin Saka
    Olfa Nasraoui
    Year: 2011
    A recommender system based on the collaborative behavior of bird flocks
    COLLABORATECOM
    ICST
    DOI: 10.4108/icst.collaboratecom.2010.11
Esin Saka1,*, Olfa Nasraoui1,*
  • 1: Knowledge Discovery and Web Mining Lab, University of Louisville, Louisville, KY, USA
*Contact email: esin.saka@louisville.edu, olfa.nasraoui@louisville.edu

Abstract

This paper proposes a swarm intelligence based recommender system (FlockRecom) based on the collaborative behavior of bird flocks for generating Top-N recommendations. The flock-based recommender algorithm (FlockRecom) iteratively adjusts the position and speed of dynamic flocks of agents on a visualization panel. By using the neighboring agents on the visualization panel, top-n recommendations are generated. The performance of FlockRecom is evaluated using the Jester Dataset-2 and is compared with a traditional collaborative filtering based recommender system. Experiments on real data illustrate the workings of the recommender system and its advantages over its CF baseline.

Keywords
Swarm intelligence recommender system collaborative filtering flocks of agents bird flocks
Published
2011-05-12
Publisher
IEEE
http://dx.doi.org/10.4108/icst.collaboratecom.2010.11
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