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

  • ,
  • Cataldo Musto
    ,
  • David Wang
    ,
  • Alexander Felfernig
    ,
  • Simone Borg Bruun
    ,
  • Giovanni Semeraro
  • Aalborg University
    ,
  • University of Bari
    ,
  • Morningstar, Inc
    ,
  • Graz University of Technology
    ,
  • University of Copenhagen
    ,
  • Illinois Institute of Technology
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-review

Open access

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.

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Research
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 688-690 (3 pages)

Publication milestones

  • Published - 12/09/2022

Publication status

Published - 12/09/2022

Publisher

Association for Computing Machinery, United States

Book series

  • Book series name: RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems

ISBN (Electronic)

9781450392785

Publication IDs

  • Scopus: 85139568589

Host publication title

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

Publication metrics

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Citation count
2
Captures
4

Related Event

Title

ACM Conference on Recommender Systems

Event type

Conference

Degree of recognition

International event

Date

18/09/2022 - 23/09/2022

Location

SeattleUnited States