Long-term effects of user preference-oriented recommendation method on the evolution of online system | |
Shi, Xiaoyu1![]() ![]() ![]() | |
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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论