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From "Who Is This User?" to "What Does This Purchase Mean?": A Deployed Pipeline for Semantic User Profiling at Bank Scale
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced a 3-phase pipeline shifting LLM profiling from per-user to per-transaction-pattern to cut bank-scale inference costs.
OneBench interpretation
Institutional assessment
So what
Pattern-based attribute inference addresses linear compute cost scaling, making large-scale LLM transaction profiling economically viable for retail banking datasets.
Do what
Review the pattern-based inference approach with the team responsible for transaction monitoring architecture.