MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations

📰 ArXiv cs.AI

arXiv:2604.10147v1 Announce Type: cross Abstract: Capturing user intent across heterogeneous behavioral domains stands as a fundamental challenge in session-based recommender systems. Yet, existing multi-domain approaches frequently fail to isolate the distinct contribution of cross-domain interactions from those arising within individual domains, limiting their ability to build rich and transferable user representations. In this work, we propose MOSAIC, a Multi-Domain Orthogonal Session Adaptiv

Published 14 Apr 2026
Read full paper → ← Back to Reads