MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second Workshop on Multi-Objective Recommender Systems

Himan Abdollahpouri; Shaghayegh Sahebi; Mehdi Elahi; Masoud Mansoury; Babak Loni; Zahra Nazari; Maria Dimakopoulou

doi:10.1145/3523227.3547410

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second Workshop on Multi-Objective Recommender Systems

Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou

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

4 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Sixteenth ACM Conference on Recommender Systems
Place of Publication	Seattle WA USA
Publisher	Association for Computing Machinery (ACM)
Pages	658-660
Number of pages	3
ISBN (Electronic)	9781450392785
ISBN (Print)	978-1-4503-9278-5
DOIs	https://doi.org/10.1145/3523227.3547410
State	Published - Sep 1 2022
Externally published	Yes
Event	16th ACM Conference on Recommender Systems, RecSys 2022 - Seattle, United States Duration: Sep 18 2022 → Sep 23 2022

Publication series

Name	RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems

Conference

Conference	16th ACM Conference on Recommender Systems, RecSys 2022
Country/Territory	United States
City	Seattle
Period	09/18/22 → 09/23/22

Keywords

Value-aware recommendation
multi-objective recommendation

Access to Document

10.1145/3523227.3547410

https://dl.acm.org/doi/10.1145/3523227.3547410

Cite this

Abdollahpouri, H., Sahebi, S., Elahi, M., Mansoury, M., Loni, B., Nazari, Z., & Dimakopoulou, M. (2022). MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second Workshop on Multi-Objective Recommender Systems. In Sixteenth ACM Conference on Recommender Systems (pp. 658-660). (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems). Association for Computing Machinery (ACM). https://doi.org/10.1145/3523227.3547410

Abdollahpouri, Himan ; Sahebi, Shaghayegh ; Elahi, Mehdi et al. / MORS 2022: The Second Workshop on Multi-Objective Recommender Systems : The Second Workshop on Multi-Objective Recommender Systems. Sixteenth ACM Conference on Recommender Systems. Seattle WA USA : Association for Computing Machinery (ACM), 2022. pp. 658-660 (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems).

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title = "MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second Workshop on Multi-Objective Recommender Systems",

abstract = "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.",

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

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

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 16th ACM Conference on Recommender Systems, RecSys 2022 ; Conference date: 18-09-2022 Through 23-09-2022",

year = "2022",

month = sep,

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doi = "10.1145/3523227.3547410",

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isbn = "978-1-4503-9278-5",

series = "RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems",

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Abdollahpouri, H, Sahebi, S, Elahi, M, Mansoury, M, Loni, B, Nazari, Z & Dimakopoulou, M 2022, MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second Workshop on Multi-Objective Recommender Systems. in Sixteenth ACM Conference on Recommender Systems. RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems, Association for Computing Machinery (ACM), Seattle WA USA, pp. 658-660, 16th ACM Conference on Recommender Systems, RecSys 2022, Seattle, United States, 09/18/22. https://doi.org/10.1145/3523227.3547410

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second Workshop on Multi-Objective Recommender Systems. / Abdollahpouri, Himan; Sahebi, Shaghayegh; Elahi, Mehdi et al.
Sixteenth ACM Conference on Recommender Systems. Seattle WA USA: Association for Computing Machinery (ACM), 2022. p. 658-660 (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems).

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

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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

PY - 2022/9/1

Y1 - 2022/9/1

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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.

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KW - multi-objective recommendation

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DO - 10.1145/3523227.3547410

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Abdollahpouri H, Sahebi S, Elahi M, Mansoury M, Loni B, Nazari Z et al. MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second Workshop on Multi-Objective Recommender Systems. In Sixteenth ACM Conference on Recommender Systems. Seattle WA USA: Association for Computing Machinery (ACM). 2022. p. 658-660. (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems). doi: 10.1145/3523227.3547410

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second 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 2022: The Second Workshop on Multi-Objective Recommender Systems: The Second 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