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

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

Standard

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. p. 688-690.

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

Harvard

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

APA

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

Vancouver

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, Inc. 2022. p. 688-690 https://doi.org/10.1145/3523227.3547420

Author

Bogers, Toine ; Musto, Cataldo ; Wang, David ; Felfernig, Alexander ; Bruun, Simone Borg ; Semeraro, Giovanni ; Zheng, Yong. / FinRec : The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc., 2022. pp. 688-690

Bibtex

@inproceedings{e4d99ecfe1594f87984ea0fb5c10e2b5,
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.; 16th ACM Conference on Recommender Systems, RecSys 2022 ; Conference date: 18-09-2022 Through 23-09-2022",
year = "2022",
doi = "10.1145/3523227.3547420",
language = "English",
pages = "688--690",
booktitle = "RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems",
publisher = "Association for Computing Machinery, Inc.",

}

RIS

TY - GEN

T1 - FinRec

T2 - 16th ACM Conference on Recommender Systems, RecSys 2022

AU - Bogers, Toine

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.

PY - 2022

Y1 - 2022

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

U2 - 10.1145/3523227.3547420

DO - 10.1145/3523227.3547420

M3 - Article in proceedings

AN - SCOPUS:85139568589

SP - 688

EP - 690

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

PB - Association for Computing Machinery, Inc.

Y2 - 18 September 2022 through 23 September 2022

ER -

ID: 344981235