3 papers
cs.AI2026
Autoresearch for Marketplace Catalogs: From Legacy Forms to AI-Native Matching
Kartik Ravisankar, Hojat Abdolanezhad, Daniel Capo +3
Two-sided service marketplaces are moving from deterministic request-form intake to AI-native probabilistic matching, enabled by large language models (LLMs) that infer intent, pre…
cs.LG2026
When Offline Evaluation Misleads: A Diagnostic Protocol for Reward and Policy Selection in Delayed-Feedback Contextual Bandits
Sang Su Lee, Vineeth Loganathan, Shishir Dash +1
Personalizing marketing messages with contextual multi-armed bandits (CMABs) drives real business value, yet the objective that ultimately matters - a downstream conversion - is ob…
cs.LG2026
Certifying What Helps Customer-Return Timing: A Screen-and-Confirm Test for Conditioning Signals, and Why Decay Is Nearly Enough
Sang Su Lee, Vineeth Loganathan, Shishir Dash +1
Practitioners enrich customer-return models with ever more signals (lifetime value, category, recency/frequency, calendar, geography), and the temporal-point-process (TPP) literatu…