doi: 10.4304/jsw.9.7.1886-1893
User Preference-oriented Collaborative Recommendation Algorithm in E-commerce
- Beijing Institute of Technology/School of management and economic, Beijing, China
Abstract
Collaborative recommendation is a key issuetoday in e-commerce, which helps users find theinformation of products which they are interested in fromthe mass of information. Aiming at the problem in aninsufficient personalization of e-commerce recommendationsystem ， a user preference-oriented network model isestablished in the paper. Related theories and techniques ofclustering are used to analyze the extracted preferences ofthe users. Finally, combined with the traditionalcollaborative filtering method, the paper proposed the userpreference-oriented collaborative recommendationalgorithm. The experimental results show that compared tothe traditional collaborative filtering algorithm, userpreference-oriented collaborative recommendationalgorithm can effectively improve the efficiency of ecommercerecommendation system in ensuring the accuracyof the premise.
Keywords
- collaborative recommendation
- userprefer
How to Cite
Huiying Gao, Susu Wang, Bofei Yang, and Hangzhou Yang, "User Preference-oriented Collaborative Recommendation Algorithm in E-commerce," Journal of Software, vol. 9, no. 7, pp. 1886-1893, 2014. https://doi.org/ 10.4304/jsw.9.7.1886-1893
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).