MORS 2022: The Second Workshop on Multi-Objective Recommender Systems
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems
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MORS 2022:第二届多目标推荐系统研讨会
DOI:
10.1145/3523227.3547410
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发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Dimakopoulou, Maria
中科院分区:
文献类型:
--
作者:
Abdollahpouri, Himan;Sahebi, Shaghayegh;Elahi, Mehdi;Mansoury, Masoud;Loni, Babak;Nazari, Zahra;Dimakopoulou, Maria
Recommender Systems are becoming an inherent part of today’s Internet. They can be found anywhere from e-commerce platforms (eBay, Amazon) to music or movie streaming (Spotify, Netflix), social media (Facebook, Instagram, TikTok), travel platforms (Booking.com, Expedia), and much more. Whether a recommendation is successful or not can rely on multiple objectives such as user satisfaction, business value, and societal issues. In addition, the long-term happiness (along with short-term excitements and delight) of the users is critical for a recommender system to be considered successful. MORS workshop brings together researchers and practitioners to discuss the importance of these aspects of recommender systems and find ways to develop algorithms to build multi-objective recommenders and also evaluation metrics to assess their success.
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