WEB INFORMATION RECOMMENDATION MAKING BASED ON ITEM TAXONOMY

LI-Tung Weng, Yue Xu, Yuefeng Li, Richi Nayak

2008

Abstract

Recommender systems have been widely applied in the domain of ecommerce. They have caught much research attention in recent years. They make recommendations to users by exploiting past users’ item preferences, thus eliminating the needs for users to form their queries explicitly. However, recommender systems’ performance can be easily affected when there are no sufficient item preferences data provided by previous users. This problem is commonly referred to as cold-start problem. This paper suggests another information source, item taxonomies, in addition to item preferences for assisting recommendation making. Item taxonomy information has been popularly applied in diverse ecommerce domains for product or content classification, and therefore can be easily obtained and adapted by recommender systems. In this paper, we investigate the implicit relations between users’ item preferences and taxonomic preferences, suggest and verify using information gain that users who share similar item preferences may also share similar taxonomic preferences. Under this assumption, a novel recommendation technique is proposed that combines the users’ item preferences and the additional taxonomic preferences together to make better quality recommendations as well as alleviate the cold-start problem. Empirical evaluations to this approach are conducted and the results show that the proposed technique outperforms other existing techniques in both recommendation quality and computation efficiency.

Paper Citation

in Harvard Style

Weng L., Xu Y., Li Y. and Nayak R. (2008). WEB INFORMATION RECOMMENDATION MAKING BASED ON ITEM TAXONOMY . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS, ISBN 978-989-8111-39-5, pages 20-28. DOI: 10.5220/0001695100200028

in Bibtex Style

@conference{iceis08,
author={LI-Tung Weng and Yue Xu and Yuefeng Li and Richi Nayak},
title={WEB INFORMATION RECOMMENDATION MAKING BASED ON ITEM TAXONOMY},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS,},
year={2008},
pages={20-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001695100200028},
isbn={978-989-8111-39-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 4: ICEIS,
TI - WEB INFORMATION RECOMMENDATION MAKING BASED ON ITEM TAXONOMY
SN - 978-989-8111-39-5
AU - Weng L.
AU - Xu Y.
AU - Li Y.
AU - Nayak R.
PY - 2008
SP - 20
EP - 28
DO - 10.5220/0001695100200028