Research of Applying Bayesian Network to Recommendation System
Chunnian Liu · Jisuanji gongcheng · 2005
Aiming at the personalization of recommendation systems in Web Intelligence, this paper presents a new commodity recommendation method based on Bayesian networks, which includes two phases: the building of customer shopping model of Bayesian network and the generation of recommendation sets based on probability inference. Experimental results on real world data show that this method is an effective method that can achieve personalized recommendation for different customers.