Robin Burke
Gediminas Adomavicius
Ido Guy
Luiz Pizzato
ABSTRACT
In this paper, we summarize VAMS 2017 - a workshop on value-aware and multistakeholder recommendation co-located with RecSys 2017. The workshop encouraged forward-thinking papers in this new area of recommender systems research and obtained a diverse set of responses ranging from application results to research overviews.
- Himan Abdollahpouri and Steve Essinger. 2017. Multiple Stakeholders in a Music Recommender System. In 1st International Workshop on Value-Aware and Multistakeholder Recommendation at RecSys 2017. 3 pages.Google Scholar
- Robin Burke and Himan Abdollahpouri. 2017. Patterns of Multistakeholder Recommendation. In 1st International Workshop on Value-Aware and Multistakeholder Recommendation at RecSys 2017. 5 pages.Google Scholar
- Philip Ekman, Sebastian Bellevik, Christos Dimitrakakis, and Aristide Tossou. 2017. Learning to match. In 1st International Workshop on Value-Aware and Multistakeholder Recommendation at RecSys 2017. 5 pages.Google Scholar
- Dietmar Jannach and Gediminas Adomavicius. 2017. Price and Profit Awareness in Recommender Systems. In 1st International Workshop on Value-Aware and Multistakeholder Recommendation at RecSys 2017. 5 pages.Google Scholar
- Phong Nguyen, John Dines, and Jan Krasnodebski. 2017. A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders. In 1st International Workshop on Value-Aware and Multistakeholder Recommendation at RecSys 2017. 5 pages.Google Scholar
- Yong Zheng. 2017. Multi-Stakeholder Recommendation: Applications and Challenges. In 1st International Workshop on Value-Aware and Multistakeholder Recommendation at RecSys 2017. 5 pages.Google Scholar
Index Terms
- VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation
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