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

Aalborg Universitet
The Interaction, Visualization, Usability & UX group at Dip. di Informatica, Bari University
Morningstar, Inc
Graz University of Technology
Københavns Universitet
Illinois Institute of Technology

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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
Udgivet eksternt	Ja
Begivenhed	ACM Conference on Recommender Systems - Seattle, USA Varighed: 18 sep. 2022 → 23 sep. 2022 Konferencens nummer: 16

Konference

Konference	ACM Conference on Recommender Systems
Nummer	16
Land/Område	USA
By	Seattle
Periode	18/09/2022 → 23/09/2022
Sponsor	, , , ,

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

Emneord

Financial Services
Recommender Systems
Personalization
Information Exchange
Industry-Academia Collaboration

Adgang til dokumentet

10.1145/3523227.3547420Licens: CC BY-NC-ND

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

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, Recommender Systems, Personalization, Information Exchange, Industry-Academia Collaboration, Financial Services, Recommender Systems, Personalization, Information Exchange, Industry-Academia Collaboration",

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; ACM Conference on Recommender Systems, RecSys ; Conference date: 18-09-2022 Through 23-09-2022",

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month = sep,

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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, ACM Conference on Recommender Systems, 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: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - FinRec

T2 - ACM Conference on Recommender Systems

AU - Bogers, Toine

AU - Musto, Cataldo

AU - Wang, David

AU - Felfernig, Alexander

AU - Bruun, Simone Borg

AU - Semeraro, Giovanni

AU - Zheng, Yong

N1 - Conference code: 16

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 - Recommender Systems

KW - Personalization

KW - Information Exchange

KW - Industry-Academia Collaboration

KW - Financial Services

KW - Recommender Systems

KW - Personalization

KW - Information Exchange

KW - Industry-Academia Collaboration

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U2 - 10.1145/3523227.3547420

DO - 10.1145/3523227.3547420

M3 - Article in proceedings

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

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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

Emneord

Adgang til dokumentet

Fingeraftryk

Citationsformater