Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently? - Yan-Martin Tamm; Rinchin Damdinov; Alexey Vasilev (RecSys, 2021)

The Long Tail of Context: Does it Exist and Matter? - Konstantin Bauman; Alexey Vasilev; Alexander Tuzhilin (CoRR, 2022)

Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec? - Anton Klenitskiy; Alexey Vasilev (RecSys, 2023)

From Variability to Stability: Advancing RecSys Benchmarking Practices. - Valeriy Shevchenko; Nikita Belousov; Alexey Vasilev; Vladimir Zholobov; Artyom Sosedka; Natalia Semenova; Anna Volodkevich; Andrey V. Savchenko; Alexey Zaytsev 002 (KDD, 2024)

Leveraging Summarization for Unsupervised Dialogue Topic Segmentation. - Aleksei Artemiev; Daniil Parinov; Alexey Grishanov; Ivan Borisov; Alexey Vasilev; Daniil Muravetskii; Aleksey Rezvykh; Aleksei Goncharov; Andrey V. Savchenko (NAACL-HLT (Findings), 2024)

Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations. - Anton Klenitskiy; Anna Volodkevich; Anton Pembek; Alexey Vasilev (RecSys, 2024)

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. - Abdulaziz Samra; Evgeny Frolov; Alexey Vasilev; Alexander Grigorevskiy; Anton Vakhrushev (RecSys, 2024)

RePlay: a Recommendation Framework for Experimentation and Production Use. - Alexey Vasilev; Anna Volodkevich; Denis Kulandin; Tatiana Bysheva; Anton Klenitskiy (RecSys, 2024)

Stalactite: toolbox for fast prototyping of vertical federated learning systems. - Anastasiia Zakharova; Dmitriy Alexandrov; Maria Khodorchenko; Nikolay Butakov; Alexey Vasilev; Maxim Savchenko; Alexander Grigorievskiy (RecSys, 2024)

Neural Click Models for Recommender Systems. - Mikhail Shirokikh; Ilya Shenbin; Anton Alekseev 001; Anna Volodkevich; Alexey Vasilev; Andrey V. Savchenko; Sergey I. Nikolenko (SIGIR, 2024)

Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems. - Konstantin Bauman; Alexey Vasilev; Alexander Tuzhilin (UMAP, 2024)

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization. - Abdulaziz Samra; Evgeny Frolov; Alexey Vasilev; Alexander Grigorievskiy; Anton Vakhrushev (CoRR, 2024)

Autoregressive Generation Strategies for Top-K Sequential Recommendations. - Anna Volodkevich; Danil Gusak; Anton Klenitskiy; Alexey Vasilev (CoRR, 2024)

Sim4Rec: Flexible and Extensible Simulator for Recommender Systems for Large-Scale Data. - Anna Volodkevich; Veronika Ivanova; Alexey Vasilev; Dmitry Bugaychenko; Maxim Savchenko (ECIR (4), 2025)

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control. - Anton Klenitskiy; Konstantin Polev; Daria Denisova; Alexey Vasilev; Dmitry Simakov; Gleb Gusev (CoRR, 2025)

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders. - Danil Gusak; Anna Volodkevich; Anton Klenitskiy; Alexey Vasilev; Evgeny Frolov (CoRR, 2025)

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization. - Anton Pembek; Artem Fatkulin; Anton Klenitskiy; Alexey Vasilev (CoRR, 2025)

Encode Me If You Can: Learning Universal User Representations via Event Sequence Autoencoding. - Anton Klenitskiy; Artem Fatkulin; Daria Denisova; Anton Pembek; Alexey Vasilev (CoRR, 2025)

Autoregressive generation strategies for Top-K sequential recommendations. - Anna Volodkevich; Danil Gusak; Anton Klenitskiy; Anton Pembek; Alexey Vasilev (User Model. User Adapt. Interact., 2025)