###
DOI:
Journal of Software:2018.29(S1):21-31

基于社交信任聚类的混合推荐算法
朱敬华,王超,马胜超
(黑龙江大学 计算机科学与技术学院, 黑龙江 哈尔滨 150080;黑龙江省数据库与并行计算重点实验室, 黑龙江 哈尔滨 150080)
Hybrid Recommendation Algorithm Based on Social Trust Clustering
ZHU Jing-Hua,WANG Chao,MA Sheng-Chao
(School of Computer Science and Technology, Heilongjiang University, Harbin 150080, China;Heilongjiang Province Key Laboratory for Database and Parallel Computing, Harbin 150080, China)
Abstract
Chart / table
Reference
Similar Articles
Article :Browse 747   Download 584
Received:May 01, 2018    
> 中文摘要: 推荐系统能够有效地解决信息过载问题,其中,协同过滤(collaborative filtering,简称CF)是推荐系统广泛采用的技术之一.然而传统的CF技术存在可扩展性差、数据稀疏和推荐结果精度低等问题.为了提高推荐质量,将信任关系融合到推荐系统中,采用聚类(FCM)方法,对信任关系进行聚类.利用信任类预测用户间的隐式信任,最后将信任关系与用户-项目关系线性融合进行推荐.在Douban和Epinions数据集上的实验结果表明,与传统的基于CF、基于信任和用户项目聚类的推荐算法相比,该算法能够大幅度地改进推荐质量,提升算法的时间效率.
中文关键词: 社交信任  聚类  协同过滤  数据稀疏  推荐
Abstract:Recommender system can solve the information overload problem effectively, and collaborative filtering (CF) is one of the techniques that is widely used in recommendation system. However, the traditional CF technology has problems such as poor scalability, sparse data, and low accuracy of recommendation results. In order to improve the quality of recommendations, this article integrates the trust relationship into the recommendation system in which the trust relationship is clustered by using the clustering (FCM) method. Using the trust cluster to predict implicit trust between users, the trust relationship is finally combined with the user-item relationship to give recommendations. The experimental results on the data set of Douban and Epinions show that compared with traditional CF algorithm, trust based recommendation algorithm and recommendation algorithm for user item clustering, the presented algorithm can greatly improve the recommendation quality and time efficiency.
文章编号:     中图分类号:    文献标志码:
基金项目:国家自然科学基金(6110048);黑龙江省自然科学基金(F2016034) 国家自然科学基金(6110048);黑龙江省自然科学基金(F2016034)
Foundation items:National Natural Science Foundation of China (6110048); Natural Science Foundation of Heilongjiang Province, China (F2016034)
Reference text:

朱敬华,王超,马胜超.基于社交信任聚类的混合推荐算法.软件学报,2018,29(S1):21-31

ZHU Jing-Hua,WANG Chao,MA Sheng-Chao.Hybrid Recommendation Algorithm Based on Social Trust Clustering.Journal of Software,2018,29(S1):21-31