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

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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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.

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
Publication date	12 Sept 2022
Pages	688-690
ISBN (Electronic)	9781450392785
DOIs	https://doi.org/10.1145/3523227.3547420
Publication status	Published - 12 Sept 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
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), Special Interest Group on Information Retrieval (ACM SIGIR), ACM Special Interest Group on Knowledge Discovery in Data (SIGKDD)

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

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or
classroom use is granted without fee provided that copies are not made or distributed
for profit or commercial advantage and that copies bear this notice and the full citation
on the first page. Copyrights for third-party components of this work must be honored.
For all other uses, contact the owner/author(s).
RecSys ’22, September 18–23, 2022, Seattle, WA, USA

Keywords

financial services
joint optimization
personalization
recommender systems
stakeholders

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10.1145/3523227.3547420Licence: CC BY-NC-ND 4.0

Open Access ArticleFinal published version, 409 KBLicence: CC BY-NC-ND 4.0

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Cite this

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title = "FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services",

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.",

keywords = "financial services, joint optimization, personalization, recommender systems, stakeholders",

author = "Toine Bogers and Cataldo Musto and David Wang and Alexander Felfernig and Bruun, {Simone Borg} and Giovanni Semeraro and Yong Zheng",

note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). RecSys {\textquoteright}22, September 18–23, 2022, Seattle, WA, USA; 16th ACM Conference on Recommender Systems, RecSys 2022 ; Conference date: 18-09-2022 Through 23-09-2022",

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day = "12",

doi = "10.1145/3523227.3547420",

language = "English",

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

pages = "688--690",

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

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address = "United States",

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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, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems, pp. 688-690, 16th ACM Conference on Recommender Systems, RecSys 2022, Seattle, United States, 18/09/2022. 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, 2022. p. 688-690 (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Musto, Cataldo

AU - Wang, David

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AU - Bruun, Simone Borg

AU - Semeraro, Giovanni

AU - Zheng, Yong

N1 - Publisher Copyright: © 2022 Owner/Author. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). RecSys ’22, September 18–23, 2022, Seattle, WA, USA

PY - 2022/9/12

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N2 - 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.

AB - 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.

KW - financial services

KW - joint optimization

KW - personalization

KW - recommender systems

KW - stakeholders

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U2 - 10.1145/3523227.3547420

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M3 - Article in proceeding

AN - SCOPUS:85139568589

T3 - RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems

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PB - Association for Computing Machinery

Y2 - 18 September 2022 through 23 September 2022

ER -

Bogers T, Musto C, Wang D, Felfernig A, Bruun SB, Semeraro G et al. 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. 2022. p. 688-690. (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems). doi: 10.1145/3523227.3547420

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

Abstract

Conference

Bibliographical note

Keywords

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