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Author

Maxim Skurikhin

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Book Open access Aug 2026

T-ECD: A Large-Scale Cross-Domain E-Commerce Dataset for Industrial Recommender Systems

We introduce T-ECD, an open large-scale dataset for recommender systems research, containing over 135 billion interactions from 44 million users and 30 million items. The dataset is derived from anonymized real-world data within a unified banking ecosystem and spans five interconnected e-commerce domains: marketplace,...

Kiryl Liakhnovich, Анна Федоровна Никифорова, Nikita Matveev 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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