A PERSONALIZED RECOMMENDER SYSTEM FOR TELECOM PRODUCTS AND SERVICES

Zui Zhang, Kun Liu, William Wang, Tai Zhang, Jie Lu

Abstract

The Internet brings excellent opportunities to businesses for providing personalized online services to their customers. Recommender systems are designed to automatically generate personalized recommendations of products and services. This study develops a hybrid recommendation approach which combines user-based and item-based collaborative filtering techniques for mobile product and service recommendation. It particularly implements the approach into an intelligent recommendation system called telecom product recommender system (TCPRS). Experimental results show that the TCPRS can effectively help new customer selecting the most suitable mobile products and services.

References

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Paper Citation


in Harvard Style

Zhang Z., Liu K., Wang W., Zhang T. and Lu J. (2011). A PERSONALIZED RECOMMENDER SYSTEM FOR TELECOM PRODUCTS AND SERVICES . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 689-693. DOI: 10.5220/0003288106890693


in Bibtex Style

@conference{icaart11,
author={Zui Zhang and Kun Liu and William Wang and Tai Zhang and Jie Lu},
title={A PERSONALIZED RECOMMENDER SYSTEM FOR TELECOM PRODUCTS AND SERVICES },
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={689-693},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003288106890693},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A PERSONALIZED RECOMMENDER SYSTEM FOR TELECOM PRODUCTS AND SERVICES
SN - 978-989-8425-40-9
AU - Zhang Z.
AU - Liu K.
AU - Wang W.
AU - Zhang T.
AU - Lu J.
PY - 2011
SP - 689
EP - 693
DO - 10.5220/0003288106890693