Improving Customer Behaviour Prediction with the Item2Item model in Recommender Systems

Nguyen, T. and Do, P. and Nguyen, T. (2018) Improving Customer Behaviour Prediction with the Item2Item model in Recommender Systems. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems.

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Abstract

Recommender Systems are the most well-known applications in E-commerce sites. However, the trade-off between runtime and the accuracy in making recommendations is a big challenge. This work combines several traditional techniques to reduce the limitation of each single technique and exploits the Ite

Item Type: Article
Date Deposited: 04 Mar 2026 11:36
Last Modified: 12 Apr 2026 06:24
URI: http://eprints.eai.eu/id/eprint/19874

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