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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

1 Citation (Scopus)

39 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.

Original language	English
Title of host publication	RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
Number of pages	3
Publisher	Association for Computing Machinery, Inc.
Publication date	2022
Pages	688-690
ISBN (Electronic)	9781450392785
DOIs	https://doi.org/10.1145/3523227.3547420
Publication status	Published - 2022
Event	16th ACM Conference on Recommender Systems, RecSys 2022 - Seattle, United States Duration: 18 Sept 2022 → 23 Sept 2022

Conference

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

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

Keywords

financial services
joint optimization
personalization
recommender systems
stakeholders

Access to Document

10.1145/3523227.3547420Licence: CC BY-NC-ND

FulltextFinal published version, 520 KBLicence: CC BY-NC-ND

Library access?

Check availability at the Royal Danish Library

Cite this

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. In RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems (pp. 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 et al.
RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., 2022. p. 688-690.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research

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. in RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., pp. 688-690, 16th ACM Conference on Recommender Systems, RecSys 2022, Seattle, United States, 18/09/2022. https://doi.org/10.1145/3523227.3547420

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