Author

Sergei S. Makeev

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Jul 2026

Embedding Items at Scale: Comparing GNN-Based and ID-Based Item Embeddings in the Yandex Ecosystem

Transformer-based sequential recommendation models, which process sequences of user-item interactions, rely heavily on the item embedding strategy. Existing approaches either use pretrained item embeddings or learn them end-to-end with the transformer. To the best of our knowledge, no prior work has compared these opti...

Sergei Makeev, Artem Matveev, Vladimir Baikalov et al. · arXiv.org · 0 citations

Preprint Aug 2026

Sona Technical Report

Results show that a single jointly trained model can replace a mature multi-stage recommendation cascade while improving recommendation quality on live traffic.

Sona Team Alexandr Udeneev, A. Krasilnikov, A. Nadtochiy et al. · 0 citations