Beyond Personalization: Research Directions in Multistakeholder Recommendation

Himan Abdollahpouri
Himan Abdollahpouri
Toshihiro Kamishima
Toshihiro Kamishima
Jan Krasnodebski
Jan Krasnodebski

arXiv: Information Retrieval, 2019.

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Abstract:

Recommender systems are personalized information access applications; they are ubiquitous in today's online environment, and effective at finding items that meet user needs and tastes. As the reach of recommender systems has extended, it has become apparent that the single-minded focus on the user common to academic research has obscure...More

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