Research Article
A recommender system based on the collaborative behavior of bird flocks
@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
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.
Copyright © 2010–2024 ICST
