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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

Fedelucio Narducci

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Book Open access Oct 2026

Distribution-Robust Reranking for Conversational Music Recommendation: PoliBaJukebox at the ACM RecSys Challenge 2026

We describe the PoliBaJukebox submission to the ACM RecSys Challenge 2026 on conversational music recommendation over the TalkPlayData 2 corpus. Our system implements a modular two-stage pipeline: a first stage retrieves candidates from the full track catalog using ten heterogeneous sources, fuses them with weighted Re...

Andrea Lops, Nicola Cipriani, Gabriele Colapinto et al. · 1 citation
Book Open access Sep 2026

From Side Information and Knowledge Graphs to Large Language Models: Two Decades of Knowledge Integration in Recommender Systems

Over the past two decades, Recommender Systems (RSs) have repeatedly changed how they integrate external knowledge, moving from constraints and side information to Knowledge Graphs (KG) and, more recently, Large Language Models (LLMs). This Past/Present/Future retrospective interprets that evolution as a sequence of re...

Claudio Pomo, Diego Baquero Sanz, Liam Claude Morris et al. · 0 citations
#graph neural networks Book Open access Oct 2026

Beyond Single-Signal Retrieval: A Graph-Aware Agentic Framework for Conversational Music Recommendation

Experimental results show the pipeline outperforms baselines in ranking, diversity, and explanations, proving that combining graph embeddings with agentic reasoning successfully bridges long-term profiles and immediate intent.

Marco Valentini, Bianca Di Bitetto, Gianmichele De Palma et al. · 1 citation
Open access Jul 2026

AMIUgraph: analysis and modeling of interactions for utility-driven benchmarking of graph-based models in healthcare.

AMIUGraph provides a clinically grounded and utility-driven benchmarking framework that jointly evaluates KGE and GNN models across multiple healthcare graph types and learning settings, and offers practical guidance for selecting graph-based models in medical decision-support systems.

P. Sorino, A. D. Bellis, Daniele Malitesta et al. · 0 citations
Jun 2026

Test-Time Verification for Text-to-SQL via Outcome Reward Models

It is demonstrated that ORM-based verification provides a simple, effective, and scalable alternative to heuristic test-time selection strategies for Text-to-SQL, and that ORMs scale effectively with larger candidate sets and yield stronger improvements on complex queries.

M. Tritto, G. Farano, Dario Di Palma et al. · 1 citation · ⚡1
Open access Jul 2026

GradeSQL: Outcome reward models for intelligent Text-to-SQL generation from LLMs

As Large Language Models (LLMs) become foundational to next-generation Intelligent Information Systems, the bridge between natural language interfaces and structured database systems remains a critical bottleneck. While Text-to-SQL generation enables cooperative support for complex query formulation, ensuring the rel...

M. Tritto, G. Farano, Dario Di Palma et al. · 2 citations

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