A Model for Collaborative Filtering Recommendation in E-Commerce Environment

  • Yuanchun Jing School of Traffic and Transportation Beijing Jiaotong University


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.


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How to Cite
JING, Yuanchun. A Model for Collaborative Filtering Recommendation in E-Commerce Environment. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 8, n. 4, p. 560-570, aug. 2013. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/577>. Date accessed: 08 july 2020. doi: https://doi.org/10.15837/ijccc.2013.4.577.


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