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Bazarova Et Al. (2025) Learning Transactions Representations For Information Management in Banks by jflaverdes is a document available to read on EtoBox.

The paper discusses the development of a representation learning method for banks that integrates local, global, and external knowledge to optimize information management. It compares various unsupervised learning techniques and proposes a novel approach that enhances customer transaction representations by incorporating external data, resulting in improved accuracy. The findings indicate that contrastive self-supervised learning methods excel in global tasks, while generative techniques perform better in l

Author

jflaverdes

Language

EN