Multistakeholder recommendation: Survey and research directions
| Autor: | Himan Abdollahpouri, Luiz Augusto Pizzato, Robin Burke, Dietmar Jannach, Toshihiro Kamishima, Gediminas Adomavicius, Jan Krasnodebski, Ido Guy |
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| Rok vydání: | 2020 |
| Předmět: |
Knowledge management
Computer science business.industry End user As is 05 social sciences Information access 050301 education 02 engineering and technology Recommender system Computer Science Applications Education Personalization Human-Computer Interaction User experience design 020204 information systems 0202 electrical engineering electronic engineering information engineering The Internet Profitability index business 0503 education |
| Zdroj: | User Modeling and User-Adapted Interaction. 30:127-158 |
| ISSN: | 1573-1391 0924-1868 |
| DOI: | 10.1007/s11257-019-09256-1 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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