SURE 2024: Workshop on Strategic and Utility-aware REcommendations

Himan Abdollahpouri; Tonia Danylenko; Masoud Mansoury; Babak Loni; Daniel Russso; Mihajlo Grbovic

doi:10.1145/3640457.3687108

SURE 2024: Workshop on Strategic and Utility-aware REcommendations

Himan Abdollahpouri, Tonia Danylenko, Masoud Mansoury, Babak Loni, Daniel Russso, Mihajlo Grbovic

Multimedia Computing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Nowadays, recommender systems are employed across a diverse set of application domains, not only supporting us in our decision making and choices but also helping us to discover and find new items, products, and services much more efficiently. The commonly used approach in recommender systems is receiver-centric (or user-centric) where the focus is on satisfying the receiver of the recommendations without any considerations for business & strategic objectives or the objectives of the item providers. [...]

Original language	English
Title of host publication	RecSys '24
Subtitle of host publication	Proceedings of the 18th ACM Conference on Recommender Systems
Editors	Tommaso di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	1210-1212
Number of pages	3
ISBN (Electronic)	979-8-4007-0505-2
DOIs	https://doi.org/10.1145/3640457.3687108
Publication status	Published - 2024
Event	18th ACM Conference on Recommender Systems - Bari, Italy Duration: 14 Oct 2024 → 18 Oct 2024 Conference number: 18

Conference

Conference	18th ACM Conference on Recommender Systems
Abbreviated title	RecSys 2024
Country/Territory	Italy
City	Bari
Period	14/10/24 → 18/10/24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

long-term optimization
multi-objective recommendation
multi-stakeholder recommendation
value-aware recommendation

Access to Document

10.1145/3640457.3687108

Cite this

Abdollahpouri, H., Danylenko, T., Mansoury, M., Loni, B., Russso, D., & Grbovic, M. (2024). SURE 2024: Workshop on Strategic and Utility-aware REcommendations. In T. di Noia, P. Lops, T. Joachims, K. Verbert, P. Castells, Z. Dong, & B. London (Eds.), RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems (pp. 1210-1212). Association for Computing Machinery (ACM). https://doi.org/10.1145/3640457.3687108

Abdollahpouri, Himan ; Danylenko, Tonia ; Mansoury, Masoud et al. / SURE 2024 : Workshop on Strategic and Utility-aware REcommendations. RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. editor / Tommaso di Noia ; Pasquale Lops ; Thorsten Joachims ; Katrien Verbert ; Pablo Castells ; Zhenhua Dong ; Ben London. New York, NY : Association for Computing Machinery (ACM), 2024. pp. 1210-1212

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abstract = "Nowadays, recommender systems are employed across a diverse set of application domains, not only supporting us in our decision making and choices but also helping us to discover and find new items, products, and services much more efficiently. The commonly used approach in recommender systems is receiver-centric (or user-centric) where the focus is on satisfying the receiver of the recommendations without any considerations for business & strategic objectives or the objectives of the item providers. [...]",

keywords = "long-term optimization, multi-objective recommendation, multi-stakeholder recommendation, value-aware recommendation",

author = "Himan Abdollahpouri and Tonia Danylenko and Masoud Mansoury and Babak Loni and Daniel Russso and Mihajlo Grbovic",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 18th ACM Conference on Recommender Systems, RecSys 2024 ; Conference date: 14-10-2024 Through 18-10-2024",

year = "2024",

doi = "10.1145/3640457.3687108",

language = "English",

pages = "1210--1212",

editor = "{di Noia}, Tommaso and Pasquale Lops and Thorsten Joachims and Katrien Verbert and Pablo Castells and Zhenhua Dong and Ben London",

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}

Abdollahpouri, H, Danylenko, T, Mansoury, M, Loni, B, Russso, D & Grbovic, M 2024, SURE 2024: Workshop on Strategic and Utility-aware REcommendations. in T di Noia, P Lops, T Joachims, K Verbert, P Castells, Z Dong & B London (eds), RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. Association for Computing Machinery (ACM), New York, NY, pp. 1210-1212, 18th ACM Conference on Recommender Systems, Bari, Italy, 14/10/24. https://doi.org/10.1145/3640457.3687108

SURE 2024: Workshop on Strategic and Utility-aware REcommendations. / Abdollahpouri, Himan; Danylenko, Tonia; Mansoury, Masoud et al.
RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. ed. / Tommaso di Noia; Pasquale Lops; Thorsten Joachims; Katrien Verbert; Pablo Castells; Zhenhua Dong; Ben London. New York, NY: Association for Computing Machinery (ACM), 2024. p. 1210-1212.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - SURE 2024

T2 - 18th ACM Conference on Recommender Systems

AU - Abdollahpouri, Himan

AU - Danylenko, Tonia

AU - Mansoury, Masoud

AU - Loni, Babak

AU - Russso, Daniel

AU - Grbovic, Mihajlo

N1 - Conference code: 18

PY - 2024

Y1 - 2024

N2 - Nowadays, recommender systems are employed across a diverse set of application domains, not only supporting us in our decision making and choices but also helping us to discover and find new items, products, and services much more efficiently. The commonly used approach in recommender systems is receiver-centric (or user-centric) where the focus is on satisfying the receiver of the recommendations without any considerations for business & strategic objectives or the objectives of the item providers. [...]

AB - Nowadays, recommender systems are employed across a diverse set of application domains, not only supporting us in our decision making and choices but also helping us to discover and find new items, products, and services much more efficiently. The commonly used approach in recommender systems is receiver-centric (or user-centric) where the focus is on satisfying the receiver of the recommendations without any considerations for business & strategic objectives or the objectives of the item providers. [...]

KW - long-term optimization

KW - multi-objective recommendation

KW - multi-stakeholder recommendation

KW - value-aware recommendation

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U2 - 10.1145/3640457.3687108

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M3 - Conference contribution

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EP - 1212

BT - RecSys '24

A2 - di Noia, Tommaso

A2 - Lops, Pasquale

A2 - Joachims, Thorsten

A2 - Verbert, Katrien

A2 - Castells, Pablo

A2 - Dong, Zhenhua

A2 - London, Ben

PB - Association for Computing Machinery (ACM)

CY - New York, NY

Y2 - 14 October 2024 through 18 October 2024

ER -

Abdollahpouri H, Danylenko T, Mansoury M, Loni B, Russso D, Grbovic M. SURE 2024: Workshop on Strategic and Utility-aware REcommendations. In di Noia T, Lops P, Joachims T, Verbert K, Castells P, Dong Z, London B, editors, RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. New York, NY: Association for Computing Machinery (ACM). 2024. p. 1210-1212 doi: 10.1145/3640457.3687108

SURE 2024: Workshop on Strategic and Utility-aware REcommendations

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Bibliographical note

Keywords

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