Alexey Vasilev

According to our database, Alexey Vasilev authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Autoregressive generation strategies for Top-K sequential recommendations.

Anna Volodkevich, Danil Gusak, Anton Klenitskiy, Anton Pembek, Alexey Vasilev

User Model. User Adapt. Interact., September, 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, August, 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, July, 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, July, 2025

Sparse Autoencoders for Sequential Recommendation Models: Interpretation and Flexible Control.

Anton Klenitskiy, Konstantin Polev, Daria Denisova, Alexey Vasilev, Dmitry Simakov, Gleb Gusev

CoRR, July, 2025

Sim4Rec: Flexible and Extensible Simulator for Recommender Systems for Large-Scale Data.

Anna Volodkevich, Veronika Ivanova, Alexey Vasilev, Dmitry Bugaychenko, Maxim Savchenko

Proceedings of the Advances in Information Retrieval, 2025

2024

Autoregressive Generation Strategies for Top-K Sequential Recommendations.

Anna Volodkevich, Danil Gusak, Anton Klenitskiy, Alexey Vasilev

CoRR, 2024

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization.

Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorievskiy, Anton Vakhrushev

CoRR, 2024

Does the Long Tail of Context Exist and Matter? The Case of Dialogue-based Recommender Systems.

Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

Neural Click Models for Recommender Systems.

Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

RePlay: a Recommendation Framework for Experimentation and Production Use.

Alexey Vasilev, Anna Volodkevich, Denis Kulandin, Tatiana Bysheva, Anton Klenitskiy

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization.

Abdulaziz Samra, Evgeny Frolov, Alexey Vasilev, Alexander Grigorevskiy, Anton Vakhrushev

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations.

Anton Klenitskiy, Anna Volodkevich, Anton Pembek, Alexey Vasilev

Proceedings of the 18th ACM Conference on Recommender Systems, 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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?

Anton Klenitskiy, Alexey Vasilev

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

The Long Tail of Context: Does it Exist and Matter?

Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin

CoRR, 2022

2021

Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently?

Yan-Martin Tamm, Rinchin Damdinov, Alexey Vasilev

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021