Learning transactions representations for information management in banks: Mastering local, global, and external knowledge

Learning transactions representations for information management in banks: Mastering local, global, and external knowledge

In today’s world, banks use artificial intelligence to optimize diverse business processes, aiming to improve customer experience. Most of the customer-related tasks can be categorized into two groups: (1) local ones, which focus on a client’s current state, such as transaction forecasting, and (2)...

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Bibliographic Details
Main Authors: Alexandra Bazarova, Maria Kovaleva, Ilya Kuleshov, Evgenia Romanenkova, Alexander Stepikin, Aleksandr Yugay, Dzhambulat Mollaev, Ivan Kireev, Andrey Savchenko, Alexey Zaytsev
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:International Journal of Information Management Data Insights
Subjects:
Representation learning
Deep learning
Financial transactional data
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Online Access:http://www.sciencedirect.com/science/article/pii/S2667096825000059
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