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cs.IR2026
MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations
Abderaouf Bahi, Mourad Boughaba, Ibtissem Gasmi +2
Capturing user intent across heterogeneous behavioral domains stands as a fundamental challenge in session-based recommender systems. Yet, existing multi-domain approaches frequent…
cs.IR2026
Benchmarking Deep Neural Networks for Modern Recommendation Systems
Abderaouf Bahi, Inoussa Mouiche, Ibtissem Gasmi
This paper presents a requirement-oriented benchmark of seven deep neural architectures, CNN, RNN, GNN, Autoencoder, Transformer, Neural Collaborative Filtering, and Siamese Networ…