Modeling Customer Preference for E-Commerce Recommendation

摘要：

Customer preference is a relation of a customer and a product.Usually it is represented by the set of attributes in order to predict the preference of new products,and the actual value is estimated from the customer history record.Therefore,customer preference model is required in intelligent E-Commerce recommendation systems.In this paper,we apply joint product attribute and dynamic weighting to model the customer preference and attribute preference.Pareto distribution and random probability are employed to reduce effects caused by data sparseness problem.The experimental results show that our preference models can effectively improve the recommendation precision.

关键词： Customer preference Attribution preference Recommendation E-Commerce

作者: ZHANG Junyan SHAO Peiji

作者单位: School of Management,University of Electronic Science and Technology of China,P.R.China,610054

会议类型: 国际会议

会议名称: 2007 International Conference on Management Science and Engineering(2007管理科学与工程国际学术会议)

会议地点: 河南焦作

会议语种:英文

页码: 2766-2770

在线出版日期: 2007-08-20（万方平台首次上网日期，不代表论文的发表时间）