TY - GEN
T1 - MORS 2022
T2 - 16th ACM Conference on Recommender Systems, RecSys 2022
AU - Abdollahpouri, Himan
AU - Sahebi, Shaghayegh
AU - Elahi, Mehdi
AU - Mansoury, Masoud
AU - Loni, Babak
AU - Nazari, Zahra
AU - Dimakopoulou, Maria
N1 - Publisher Copyright: © 2022 Owner/Author.
PY - 2022/9/12
Y1 - 2022/9/12
N2 - 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.
AB - 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.
KW - Value-aware recommendation
KW - multi-objective recommendation
UR - https://www.scopus.com/pages/publications/85139559260
U2 - 10.1145/3523227.3547410
DO - 10.1145/3523227.3547410
M3 - Conference contribution
T3 - RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
SP - 658
EP - 660
BT - RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
PB - Association for Computing Machinery, Inc
Y2 - 18 September 2022 through 23 September 2022
ER -