Banks train foundation models on ordered sequences of customer events and evaluate them out-of-time and cold-start; arXiv paper analyzes out-of-sample evaluation on user event sequences
Read the original at arxiv.org→arXiv:2611.13069v1 Announce Type: new Abstract: Banks now train foundation models on ordered sequences of customer events such as transactions, app sessions, and authorizations. Deployed, such a model predicts...
Original headline: "INTENT: Out-of-Sample, Out-of-Time, and Cold-Start Evaluation on User Event Sequences"
Coverage timeline
- Nov 11, 05:00 UTC arXiv cs.LG lead source INTENT: Out-of-Sample, Out-of-Time, and Cold-Start Evaluation on User Event Sequences