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Authors: Yvonne Ho ; Simon Fong and Zhuang Yan

Affiliation: Faculty of Science and Technology, University of Macau, Macau

Keyword(s): Collaborative Filtering, Recommendation Systems, Genetic Algorithm.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Collaboration and e-Services ; Data Engineering ; e-Business ; Enterprise Information Systems ; Mobile Software and Services ; Ontologies and the Semantic Web ; Services Science ; Software Agents and Internet Computing ; Software Engineering ; Software Engineering Methods and Techniques ; Telecommunications ; User Interfaces and Usability ; Web and Mobile Business Systems and Services ; Web Services ; Wireless Information Networks and Systems

Abstract: Online recommenders have been a prevalent tool in e-Business that assists users to find items of their interest. Different algorithms that predict scores based on the heuristic of similarity of other peoples’ taste to that of the user have been experimented by many researchers. However most of the current recommendation systems take all users with common items as neighbors in their measurement, which may induce noise and hence inaccurate prediction. In this paper, we attempt to solve this problem by proposing a hybrid model that combines content-based filtering and collaborative filtering for online recommenders. The model exploits merits from these two techniques by selectively encoding both the user profiles and the product information into the same chromosomes in a Genetic Algorithm. Our experiments demonstrated that this new approach gives relatively high accuracy rate in predicting user preferences.

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Paper citation in several formats:
Ho, Y.; Fong, S. and Yan, Z. (2007). A HYBRID GA-BASED COLLABORATIVE FILTERING MODEL FOR ONLINE RECOMMENDERS. In Proceedings of the Second International Conference on e-Business (ICETE 2007) - ICE-B; ISBN 978-989-8111-11-1, SciTePress, pages 200-203. DOI: 10.5220/0002113602000203

@conference{ice-b07,
author={Yvonne Ho. and Simon Fong. and Zhuang Yan.},
title={A HYBRID GA-BASED COLLABORATIVE FILTERING MODEL FOR ONLINE RECOMMENDERS},
booktitle={Proceedings of the Second International Conference on e-Business (ICETE 2007) - ICE-B},
year={2007},
pages={200-203},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002113602000203},
isbn={978-989-8111-11-1},
}

TY - CONF

JO - Proceedings of the Second International Conference on e-Business (ICETE 2007) - ICE-B
TI - A HYBRID GA-BASED COLLABORATIVE FILTERING MODEL FOR ONLINE RECOMMENDERS
SN - 978-989-8111-11-1
AU - Ho, Y.
AU - Fong, S.
AU - Yan, Z.
PY - 2007
SP - 200
EP - 203
DO - 10.5220/0002113602000203
PB - SciTePress

- Science and Technology Publications, Lda.
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