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

文献类型：期刊论文

作者Shi, Xiaoyu1; Shang, Ming-Sheng1; Luo, Xin1; Khushnood, Abbas2; Li, Jian2
刊名PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
出版日期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
DOI10.1016/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
WOS记录号WOS:000389389500046
出版者ELSEVIER SCIENCE BV
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.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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