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Authors: Armelle Brun and Anne Boyer

Affiliation: LORIA-Nancy University, France

ISBN: 978-989-674-025-2

Keyword(s): Recommender systems, m-Commerce, Computation time, Real-time, Usage mining, Association rules.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Internet Technology ; Ontologies and the Semantic Web ; Personalized Web Sites and Services ; User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Personalization ; Web Security and Privacy ; Wireless Applications

Abstract: Recommendation technologies have traditionally been used in domains such as e-commerce to recommend resources to customers so as to help them to get the right resources at the right moment. The interest of modelbased collaborative filtering, as sequential association rules, in recommender systems has highly increased over the last few years. These models are usually presented as real-time recommenders. In the last few years, the m-commerce domain has emerged, that displays recommendations on the mobile device instead of the classical screen of the computer. In this paper user privacy preservation is an important objective and one way to be compliant with this constraint is to store the recommender on the mobile-side. Though model-based recommenders are real-time, many of them require a significant time to generate recommendations to users and may not be real-time anymore when implemented on a mobile device. Although some works focused on the way to decrease the time required to comput e recommendations, the computation complexity still remains relatively high. We put forward a new incremental recommender to get instantaneous recommendations when exploiting usage mining recommender systems in the framework of m-commerce. (More)

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Paper citation in several formats:
Brun A.; Boyer A. and (2010). ARE RECOMMENDER SYSTEMS REAL-TIME IN MOBILE ENVIRONMENT? - Towards Instantaneous Recommenders.In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST, ISBN 978-989-674-025-2, pages 101-106. DOI: 10.5220/0002807801010106

@conference{webist10,
author={Armelle Brun and Anne Boyer},
title={ARE RECOMMENDER SYSTEMS REAL-TIME IN MOBILE ENVIRONMENT? - Towards Instantaneous Recommenders},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,},
year={2010},
pages={101-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002807801010106},
isbn={978-989-674-025-2},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 1: WEBIST,
TI - ARE RECOMMENDER SYSTEMS REAL-TIME IN MOBILE ENVIRONMENT? - Towards Instantaneous Recommenders
SN - 978-989-674-025-2
AU - Brun, A.
AU - Boyer, A.
PY - 2010
SP - 101
EP - 106
DO - 10.5220/0002807801010106

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