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

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › 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.

Originalsprog	Engelsk
Titel	RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems
Antal sider	3
Forlag	Association for Computing Machinery
Publikationsdato	12 sep. 2022
Sider	688-690
ISBN (Elektronisk)	9781450392785
DOI	https://doi.org/10.1145/3523227.3547420
Status	Udgivet - 12 sep. 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), Special Interest Group on Information Retrieval (ACM SIGIR), ACM Special Interest Group on Knowledge Discovery in Data (SIGKDD)

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

Bibliografisk note

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© 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

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

Open Access ArticleForlagets udgivne version, 409 KBLicens: CC BY-NC-ND 4.0

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Citationsformater

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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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month = sep,

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",

publisher = "Association for Computing Machinery",

address = "United States",

}

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, RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems, s. 688-690, 16th ACM Conference on Recommender Systems, RecSys 2022, Seattle, USA, 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. s. 688-690 (RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AU - Musto, Cataldo

AU - Wang, David

AU - Felfernig, Alexander

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

Y1 - 2022/9/12

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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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M3 - Article in proceeding

AN - SCOPUS:85139568589

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

SP - 688

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

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. I RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery. 2022. s. 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

Konference

Bibliografisk note

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