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Author

Youssef Iraqi

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Book Open access Oct 2026

A Multi-Source Retrieve-Fuse-Rerank System for Conversational Music Recommendation

The ablation study shows that the contextual and utterance dense retrievers provide the largest gains in candidate coverage, while structural retrieval also improves the final ranking, and the benefit of combining complementary retrieval signals with a learned reranker for conversational music recommendation.

Youness Soussou, Loubna Mekouar, Youssef Iraqi · 1 citation · ⚡1
Jul 2026

Federated Matrix Factorization under Local Differential Privacy via Directional Noise

Federated Recommender Systems (FRSs) enable on-device personalization while preserving user privacy, yet the gradients shared during model training can still leak sensitive information. Local differential privacy (LDP) offers a formal defense, but classic mechanisms—randomized response and Laplace perturbation—inject s...

Nawfal Abbassi Saber, Loubna Mekouar, Youssef Iraqi · 0 citations

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