MORS 2021: 1st Workshop on Multi-Objective Recommender Systems
MORS 2021: 1st Workshop on Multi-Objective Recommender Systems
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MORS 2021:第一届多目标推荐系统研讨会
DOI:
10.1145/3460231.3470936
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发表时间:
2021
期刊:
影响因子:
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通讯作者:
Loni, Babak
中科院分区:
文献类型:
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作者:
Abdollahpouri, Himan;Elahi, Mehdi;Mansoury, Masoud;Sahebi, Shaghayegh;Nazari, Zahra;Chaney, Allison;Loni, Babak
Historically, the main criterion for a successful recommender system was the relevance of the recommended items to the user. In other words, the only objective for the recommendation algorithm was to learn user’s preferences for different items and generate recommendations accordingly. However, real-world recommender systems are well beyond a simple objective and often need to take into account multiple objectives simultaneously. These objectives can be either from the users’ perspective or they could come from other stakeholders such as item providers or any party that could be impacted by the recommendations. Such multi-objective and multi-stakeholder recommenders present unique challenges and these challenges were the focus of the MORS workshop.
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DOI:
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发表时间:
2021
期刊:
MORS@RecSys
影响因子:
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作者:
A. Starke;C. Trattner;Hedda Bakken;Martin Johannessen;Vegard Solberg
通讯作者:
Vegard Solberg
DOI:
10.1145/3298689.3346973
发表时间:
2019
期刊:
Proceedings of the 13th ACM Conference on Recommender Systems
影响因子:
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作者:
R. Burke;Himan Abdollahpouri;E. Malthouse;K. Thai;Yongfeng Zhang
通讯作者:
Yongfeng Zhang
DOI:
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发表时间:
2021
期刊:
MORS@RecSys
影响因子:
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作者:
Dmitri Goldenberg;Javier Albert;Guy Tsype
通讯作者:
Guy Tsype
DOI:
10.1145/3109859.3109957
发表时间:
2017
期刊:
Proceedings of the Eleventh ACM Conference on Recommender Systems
影响因子:
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作者:
R. Burke;G. Adomavicius;Ido Guy;Jan Krasnodebski;L. Pizzato;Yi Zhang;Himan Abdollahpouri
通讯作者:
Himan Abdollahpouri