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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

Oleg Lashinin

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Book Open access Sep 2026

Scikit-Rank: Scikit-learn-Compatible Neural Ranking Models for Tabular Recommender Systems

Deep & Cross Networks (DCN) are established deep learning architectures for modeling feature interactions in CTR prediction, ranking, and recommender systems. Although they can achieve metrics comparable to gradient-boosting methods, existing implementations are often organized around framework-specific training loops...

Aleksandr Milogradskii, Ilya Veselov, Yaroslav Klyukin et al. · 0 citations
Book Open access Sep 2026

Scaling LLM-Enhanced Linear Autoencoders to Industrial-Size Catalogs

LLM-enhanced linear autoencoders (L3AE) incorporate semantic item representations from large language models into collaborative filtering and demonstrate significant gains on long-tail items. However, L3AE requires dense n × n matrices, which makes it impractical for large catalogs — exactly where semantic enrichment w...

Maxim Skurikhin, Kiryl Liakhnovich, Oleg Lashinin · 0 citations

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