FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services

Toine Bogers; Cataldo Musto; David Wang; Alexander Felfernig; Simone Borg Bruun; Giovanni Semeraro; Yong Zheng

doi:10.1145/3523227.3547420

FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services

Toine Bogers, Cataldo Musto, David Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng

Machine Learning

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

1 Citationer (Scopus)

11 Downloads (Pure)

Abstract

The FinRec workshop series offers a central forum for the study and discussion of the domain-specific aspects, challenges, and opportunities of RecSys and other related technologies in the financial services domain. Six years after the second edition of the workshop, the recent advances in the area of personalization and recommendation in financial services fostered the need for a new workshop aiming at bringing together researchers and practitioners working in financial services-related areas. Accordingly, the third edition of the event aims to: (1) understand and discuss open research challenges, (2) provide an overview of existing technologies using recommender systems in the financial services domain, and (3) provide an interactive platform for information exchange between industry and academia.

Originalsprog	Engelsk
Titel	RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
Antal sider	3
Forlag	Association for Computing Machinery, Inc.
Publikationsdato	2022
Sider	688-690
ISBN (Elektronisk)	9781450392785
DOI	https://doi.org/10.1145/3523227.3547420
Status	Udgivet - 2022
Begivenhed	16th ACM Conference on Recommender Systems, RecSys 2022 - Seattle, USA Varighed: 18 sep. 2022 → 23 sep. 2022

Konference

Konference	16th ACM Conference on Recommender Systems, RecSys 2022
Land/Område	USA
By	Seattle
Periode	18/09/2022 → 23/09/2022
Sponsor	ACM Special Interest Group on Artificial Intelligence (SIGAI), ACM Special Interest Group on Computer-Human Interaction (SIGCHI), ACM Special Interest Group on Hypertext, Hypermedia, and Web (SIGWEB), ACM Special Interest Group on Information Retrieval (SIGIR), ACM Special Interest Group on Knowledge Discovery in Data (SIGKDD)

Bibliografisk note

Publisher Copyright:
© 2022 Owner/Author.

Adgang til dokumentet

10.1145/3523227.3547420Licens: CC BY-NC-ND

FulltextForlagets udgivne version, 520 KBLicens: CC BY-NC-ND

Citationsformater

Bogers, T., Musto, C., Wang, D., Felfernig, A., Bruun, S. B., Semeraro, G., & Zheng, Y. (2022). FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. I RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems (s. 688-690). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3523227.3547420

FinRec : The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. / Bogers, Toine; Musto, Cataldo; Wang, David; Felfernig, Alexander; Bruun, Simone Borg; Semeraro, Giovanni; Zheng, Yong.

RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., 2022. s. 688-690.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

Bogers, T, Musto, C, Wang, D, Felfernig, A, Bruun, SB, Semeraro, G & Zheng, Y 2022, FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. i RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., s. 688-690, 16th ACM Conference on Recommender Systems, RecSys 2022, Seattle, USA, 18/09/2022. https://doi.org/10.1145/3523227.3547420

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abstract = "The FinRec workshop series offers a central forum for the study and discussion of the domain-specific aspects, challenges, and opportunities of RecSys and other related technologies in the financial services domain. Six years after the second edition of the workshop, the recent advances in the area of personalization and recommendation in financial services fostered the need for a new workshop aiming at bringing together researchers and practitioners working in financial services-related areas. Accordingly, the third edition of the event aims to: (1) understand and discuss open research challenges, (2) provide an overview of existing technologies using recommender systems in the financial services domain, and (3) provide an interactive platform for information exchange between industry and academia. ",

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