AI RESEARCH
Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning
arXiv CS.AI
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ArXi:2605.15299v1 Announce Type: cross In search and recommendation systems, predictive models often suffer from temporal instability when certain input features