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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

Danil Gusak

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2 papers indexed here

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Book Open access Sep 2026

Codebook-Based Semantic IDs in Generative Recommendation: Enabling Interface, Emerging Bottleneck

Codebook-based semantic IDs (SIDs), short discrete code sequences produced by quantization over item representations, made generative recommendation practical by turning catalog-scale retrieval into low-cardinality generation. Yet the same interface now concentrates the field’s hardest questions. We revisit the canonic...

Danil Gusak, Evgeny Frolov · 3 citations
Book Open access Sep 2026

CoSID: Concept-Conditioned Semantic-ID Decoding for Efficient Generative Recommendation

CoSID is introduced, a concept-conditioned SID decoder that encodes the history once into a compact next-item concept and delegates the entire beam search to a lightweight KV-cached decoder.

Danil Gusak, A. Volodkevich, Evgeny Frolov · 1 citation

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