Long-term effects of user preference-oriented recommendation method on the evolution of online system

doi:10.1016/j.physa.2016.10.033

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	Long-term effects of user preference-oriented recommendation method on the evolution of online system
	Shi, Xiaoyu1 ; Shang, Ming-Sheng1 ; Luo, Xin1 ; Khushnood, Abbas 2; Li, Jian 2
刊名	PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
	2017-02-01
卷号	467 页码:490-498
关键词	Recommender system User preference-oriented Personalized recommender method Evolution Diversity
ISSN号	0378-4371
DOI	10.1016/j.physa.2016.10.033
通讯作者	Shang, MS (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China.
英文摘要	As the explosion growth of Internet economy, recommender system has become an important technology to solve the problem of information overload. However, recommenders are not one-size-fits-all, different recommenders have different virtues, making them be suitable for different users. In this paper, we propose a novel personalized recommender based on user preferences, which allows multiple recommenders to exist in E-commerce system simultaneously. We find that output of a recommender to each user is quite different when using different recommenders, the recommendation accuracy can be significantly improved if each user is assigned with his/her optimal personalized recommender. Furthermore, different from previous works focusing on short-term effects on recommender, we also evaluate the long-term effect of the proposed method by modeling the evolution of mutual feedback between user and online system. Finally, compared with single recommender running on the online system, the proposed method can improve the accuracy of recommendation significantly and get better trade-offs between short-and long-term performances of recommendation. (C) 2016 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[61370150] ; National Natural Science Foundation of China[61433014] ; National Natural Science Foundation of China[61602434] ; Chongqing Research Program of Basic Research and Frontier Technology[cstc2015jcyjB0244] ; Sichuan Provincial Science and Technology Department[2015GZ0143]
WOS研究方向	Physics
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000389389500046
内容类型	期刊论文
源URL	[http://172.16.51.4:88/handle/2HOD01W0/263]
专题	大数据挖掘及应用中心
通讯作者	Shang, Ming-Sheng
作者单位	1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Univ Elect Sci & Technol China, Sch Comp Sci & Engineer, Chengdu 611731, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Shi, Xiaoyu,Shang, Ming-Sheng,Luo, Xin,et al. Long-term effects of user preference-oriented recommendation method on the evolution of online system[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2017,467:490-498.
APA	Shi, Xiaoyu,Shang, Ming-Sheng,Luo, Xin,Khushnood, Abbas,&Li, Jian.(2017).Long-term effects of user preference-oriented recommendation method on the evolution of online system.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,467,490-498.
MLA	Shi, Xiaoyu,et al."Long-term effects of user preference-oriented recommendation method on the evolution of online system".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 467(2017):490-498.