MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems

Himan Abdollahpouri; Mehdi Elahi; Masoud Mansoury; Shaghayegh Sahebi; Zahra Nazari; Allison Chaney; Babak Loni

doi:10.1145/3460231.3470936

MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems

Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Fifteenth ACM Conference on Recommender Systems
Place of Publication	Amsterdam Netherlands
Publisher	Association for Computing Machinery (ACM)
Pages	787-788
Number of pages	2
ISBN (Electronic)	9781450384582
ISBN (Print)	978-1-4503-8458-2
DOIs	https://doi.org/10.1145/3460231.3470936
State	Published - Sep 1 2021
Externally published	Yes
Event	15th ACM Conference on Recommender Systems, RecSys 2021 - Virtual, Online, Netherlands Duration: Sep 27 2021 → Oct 1 2021

Publication series

Name	RecSys 2021 - 15th ACM Conference on Recommender Systems

Conference

Conference	15th ACM Conference on Recommender Systems, RecSys 2021
Country/Territory	Netherlands
City	Virtual, Online
Period	09/27/21 → 10/1/21

Keywords

Multi-objective recommendation
Value-aware recommendation

Access to Document

10.1145/3460231.3470936

https://dl.acm.org/doi/10.1145/3460231.3470936

Cite this

Abdollahpouri, H., Elahi, M., Mansoury, M., Sahebi, S., Nazari, Z., Chaney, A., & Loni, B. (2021). MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems. In Fifteenth ACM Conference on Recommender Systems (pp. 787-788). (RecSys 2021 - 15th ACM Conference on Recommender Systems). Association for Computing Machinery (ACM). https://doi.org/10.1145/3460231.3470936

Abdollahpouri, Himan ; Elahi, Mehdi ; Mansoury, Masoud et al. / MORS 2021: 1st Workshop on Multi-Objective Recommender Systems : 1st workshop on multi-objective recommender systems. Fifteenth ACM Conference on Recommender Systems. Amsterdam Netherlands : Association for Computing Machinery (ACM), 2021. pp. 787-788 (RecSys 2021 - 15th ACM Conference on Recommender Systems).

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abstract = "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.",

keywords = "Multi-objective recommendation, Value-aware recommendation",

author = "Himan Abdollahpouri and Mehdi Elahi and Masoud Mansoury and Shaghayegh Sahebi and Zahra Nazari and Allison Chaney and Babak Loni",

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Abdollahpouri, H, Elahi, M, Mansoury, M, Sahebi, S, Nazari, Z, Chaney, A & Loni, B 2021, MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems. in Fifteenth ACM Conference on Recommender Systems. RecSys 2021 - 15th ACM Conference on Recommender Systems, Association for Computing Machinery (ACM), Amsterdam Netherlands, pp. 787-788, 15th ACM Conference on Recommender Systems, RecSys 2021, Virtual, Online, Netherlands, 09/27/21. https://doi.org/10.1145/3460231.3470936

MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems. / Abdollahpouri, Himan; Elahi, Mehdi; Mansoury, Masoud et al.
Fifteenth ACM Conference on Recommender Systems. Amsterdam Netherlands: Association for Computing Machinery (ACM), 2021. p. 787-788 (RecSys 2021 - 15th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T2 - 15th ACM Conference on Recommender Systems, RecSys 2021

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AU - Mansoury, Masoud

AU - Sahebi, Shaghayegh

AU - Nazari, Zahra

AU - Chaney, Allison

AU - Loni, Babak

PY - 2021/9/1

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AB - 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.

KW - Multi-objective recommendation

KW - Value-aware recommendation

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Abdollahpouri H, Elahi M, Mansoury M, Sahebi S, Nazari Z, Chaney A et al. MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems. In Fifteenth ACM Conference on Recommender Systems. Amsterdam Netherlands: Association for Computing Machinery (ACM). 2021. p. 787-788. (RecSys 2021 - 15th ACM Conference on Recommender Systems). doi: 10.1145/3460231.3470936

MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

DL: ICAI Discovery Lab

Cite this

MORS 2021: 1st Workshop on Multi-Objective Recommender Systems: 1st workshop on multi-objective recommender systems

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

DL: ICAI Discovery Lab

Cite this