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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Daniel Nemirovsky

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2 papers indexed here

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Book Open access Sep 2026

There’s Something About You: Epistemic Recommendation for Latent Interest Discovery

How well does a recommender system know you? These systems are typically trained on the silhouette of user activity to predict immediate engagement, yet this narrow focus may paradoxically expose how incomplete the system’s knowledge of the user really is. Rather than recommending from established user preferences, thi...

Daniel Nemirovsky, Priya Nirmal Singh Khokher, Adarsh Jois et al. · 0 citations
#artificial intelligence Preprint Sep 2026

AURA: Agentic Diagnosis and Refinement for Production Recommender Systems at Scale

How and why does a recommender system fail the users it serves? Oftentimes, practitioners are left to improve their algorithms based on a combination of feedback from stakeholder teams, domain expertise, and insights from data analyses. Yet the nuances of how and where recommendations perform well or poorly for end use...

SungGeun Kim, Abhinav Narain, Daniel Nemirovsky · 0 citations

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