Author

Hugues Bouchard

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#artificial intelligence Book Open access Sep 2026

Bootstrapping Conversational Recommendation Agents At Spotify: Synthetic Data Generation and Self-Improvement Loops

This work provides a practical framework for accelerating the development of conversational recommendation agents in industry, addressing challenges that are becoming increasingly central to recommender systems and agentic applications as natural-language interfaces reach widespread adoption.

Enrico Palumbo, Alexandre Tamborrino, Victor Ode et al. · Proceedings of the 20th ACM... · 0 citations

Preprint Aug 2026

The Disconnect Between Better Descriptive Reasoning Trace Quality and Recommendation Effectiveness

It is found that introducing explicit descriptive reasoning traces reduces traditional offline recommendation effectiveness under standard SFT and RL training, even though natural language titles produce substantially more grounded and interpretable traces.

G. Penha, Juan Elenter, Claudia Hauff et al. · 0 citations