Multistakeholder recommendation: Survey and research directions

被引:141
作者
Abdollahpouri, Himan [1 ]
Adomavicius, Gediminas [3 ]
Burke, Robin [2 ]
Guy, Ido [4 ]
Jannach, Dietmar [5 ]
Kamishima, Toshihiro [6 ]
Krasnodebski, Jan [7 ]
Pizzato, Luiz [8 ]
机构
[1] Univ Colorado, Informat Sci, Boulder, CO 80309 USA
[2] Univ Colorado, Informat Sci Dept, Boulder, CO 80309 USA
[3] Univ Minnesota, Dept Chair Informat & Decis Sci, Minneapolis, MN USA
[4] eBay Res, Netanya, Israel
[5] Univ Klagenfurt, Klagenfurt, Austria
[6] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki, Japan
[7] Expedia Grp, Geneva, Switzerland
[8] Accenture, Sydney, NSW, Australia
基金
日本学术振兴会;
关键词
CUSTOMER LIFETIME VALUE; SYSTEMS; IMPACT;
D O I
10.1007/s11257-019-09256-1
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Recommender systems provide personalized information access to users of Internet services from social networks to e-commerce to media and entertainment. As is appropriate for research in a field with a focus on personalization, academic studies of recommender systems have largely concentrated on optimizing for user experience when designing, implementing and evaluating their algorithms and systems. However, this concentration on the user has meant that the field has lacked a systematic exploration of other aspects of recommender system outcomes. A user-centric approach limits the ability to incorporate system objectives, such as fairness, balance, and profitability, and obscures concerns that might come from other stakeholders, such as the providers or sellers of items being recommended. Multistakeholder recommendation has emerged as a unifying framework for describing and understanding recommendation settings where the end user is not the sole focus. This article outlines the multistakeholder perspective on recommendation, highlighting example research areas and discussing important issues, open questions, and prospective research directions.
引用
收藏
页码:127 / 158
页数:32
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