A Model for Collaborative Filtering Recommendation in E-Commerce Environment

作者：Jing Y^*; Liu H

来源：International Journal of Computers Communications & Control, 2013, 8(4): 560-570.

• Integration of real-time information
• one class collaborative filtering
• e-commerce

In modern business environment, product life cycle gets shorter and the customer's buying preference changes over time. Time plays a more and more important role in collaborative filtering. However, there is a gap in one class collaborative filtering (OCCF). On the basis of collecting different real-time information, this paper proposes an optimization model for e-retailers. Through comparing different methods with different weights, results show that real-time dependent in OCCF performs better in improving the quality of recommendation. The model is effective in cross-selling e-commerce, personalized, targeted recommendation sales.

• 出版日期2013-8
• 单位北京交通大学