An Improved Personalized Recommendation System Research
Xingyuan Li, Qingshui Li
Available Online May 2014.
- 10.2991/iccia.2012.3How to use a DOI?
- Personalized recommendation, association rules ,Collaborative filtering recommendation, styling, Project Score
In order to find information of interest and found valuable information resources in enrich Internet data. This paper describes a personalized recommendation system, personalized recommendation system is an intelligent recommendation system to help e-commerce site for customers to provide complete personalized shopping decision support and information services. for the User Rating data extreme sparseness, This paper presents nearest neighbor collaborative filtering algorithm based on project score predicted ,experiments show that this method can improve the quality of recommendation system.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xingyuan Li AU - Qingshui Li PY - 2014/05 DA - 2014/05 TI - An Improved Personalized Recommendation System Research BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 13 EP - 16 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.3 DO - 10.2991/iccia.2012.3 ID - Li2014/05 ER -