Universal representations for financial transactional data: embracing local, global, and external contexts

arXiv:2404.02047v1 Announce Type: new
Abstract: Effective processing of financial transactions is essential for banking data analysis. However, in this domain, most methods focus on specialized solutions to stand-alone problems instead of constructing universal representations suitable for many problems. We present a representation learning framework that addresses diverse business challenges. We also suggest novel generative models that account for data specifics, and a way to integrate external information into a client's representation, leveraging insights from other customers' actions. Finally, we offer …

abstract analysis arxiv banking business cs.ai cs.lg data data analysis diverse domain financial focus framework global however processing representation representation learning solutions transactions type universal