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Received:May 24, 2013 Revised:July 05, 2013
Received:May 24, 2013 Revised:July 05, 2013
中文摘要: 协同过滤推荐作为主流的个性化推荐方法在实际应用中存在一定缺陷, 在一些情况下得到的推荐结果不够准确。考虑到信任与用户偏好相似性的关系, 将信任引入到推荐模型中, 并同时考虑暗示用户偏好的多维因素, 提出基于信任偏好的个性化推荐方法, 以提高推荐系统的准确性, 并用实验验证了此方法的有效性。
Abstract:As the most popular personalized recommendation method, collaborative filtering recommendation has some shortcomings in real application, and the results of recommendation are not accurate enough in some cases. Taking into account the relationship between the trust and similarity of user preferences, we introduce trust into recommendation model, and take dimensional factor indicating user preferences into account, putting forward a recommendation method based on trust and preference. This method is aimed at solving the problem in collaborative filtering method and improving the accuracy of recommendation system. We have demonstrated the effectiveness of this method.
keywords: trust preference collaborative filtering personalized recommendation recommendation algorithm
文章编号： 中图分类号： 文献标志码：
基金项目:
| Author Name | Affiliation |
| ZHANG Xiu-Jie | Tianjin University of Technology, Zhonghuan Information College, Tianjin 300380, China |
| Author Name | Affiliation |
| ZHANG Xiu-Jie | Tianjin University of Technology, Zhonghuan Information College, Tianjin 300380, China |
引用文本：
张秀杰.基于信任偏好的个性化推荐.计算机系统应用,2014,23(1):109-113
ZHANG Xiu-Jie.Personalized Recommendation Based on Trust and Preference.COMPUTER SYSTEMS APPLICATIONS,2014,23(1):109-113
张秀杰.基于信任偏好的个性化推荐.计算机系统应用,2014,23(1):109-113
ZHANG Xiu-Jie.Personalized Recommendation Based on Trust and Preference.COMPUTER SYSTEMS APPLICATIONS,2014,23(1):109-113
