Multistakeholder recommendation: Survey and research directions

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 opt...

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Vydáno v:User modeling and user-adapted interaction Ročník 30; číslo 1; s. 127 - 158
Hlavní autoři: Abdollahpouri, Himan, Adomavicius, Gediminas, Burke, Robin, Guy, Ido, Jannach, Dietmar, Kamishima, Toshihiro, Krasnodebski, Jan, Pizzato, Luiz
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.03.2020
Springer Nature B.V
Témata:
Algorithms
Computer Science
Information dissemination
Management of Computing and Information Systems
Multimedia Information Systems
Profitability
Recommender systems
Social networks
User Interfaces and Human Computer Interaction
ISSN:0924-1868, 1573-1391
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Shrnutí: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.
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ISSN:0924-1868
1573-1391
DOI:10.1007/s11257-019-09256-1