AI Agents Debate to Uncover Users’ Core Values for Better Recommendations
A multi-agent framework called ZOOM uses summarization and supervised LLM debate to extract stable user values from interaction histories, improving ...
A multi-agent framework called ZOOM uses summarization and supervised LLM debate to extract stable user values from interaction histories, improving ...
A new study shows that fusing browsing, clicking, carting and purchasing signals into a shared temporal representation space improves recommendation ...
Conversational recommender systems have quietly become one of the most demanding corners of modern artificial intelligence. These are the systems ...
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© 2026 Scienmag - Science Magazine