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Evgeny Frolov
Evgeny Frolov
AIRI
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Año
Tensor methods and recommender systems
E Frolov, I Oseledets
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 7 (3 …, 2017
1622017
Performance of hyperbolic geometry models on top-n recommendation tasks
L Mirvakhabova, E Frolov, V Khrulkov, I Oseledets, A Tuzhilin
Proceedings of the 14th ACM Conference on Recommender Systems, 527-532, 2020
342020
HybridSVD: when collaborative information is not enough
E Frolov, I Oseledets
Proceedings of the 13th ACM conference on recommender systems, 331-339, 2019
342019
Fifty shades of ratings: how to benefit from a negative feedback in top-N recommendations tasks
E Frolov, I Oseledets
Proceedings of the 10th ACM Conference on Recommender Systems, 91-98, 2016
292016
MEKER: memory efficient knowledge embedding representation for link prediction and question answering
V Chekalina, A Razzhigaev, A Sayapin, E Frolov, A Panchenko
arXiv preprint arXiv:2204.10629, 2022
122022
Dynamic modeling of user preferences for stable recommendations
O Olaleke, I Oseledets, E Frolov
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and …, 2021
82021
Tensor-based sequential learning via Hankel matrix representation for next item recommendations
E Frolov, I Oseledets
IEEE Access 11, 6357-6371, 2023
72023
Are quantum computers practical yet? A case for feature selection in recommender systems using tensor networks
A Nikitin, A Chertkov, R Ballester-Ripoll, I Oseledets, E Frolov
arXiv preprint arXiv:2205.04490, 2022
72022
Tensor-based collaborative filtering with smooth ratings scale
N Marin, E Makhneva, M Lysyuk, V Chernyy, I Oseledets, E Frolov
arXiv preprint arXiv:2205.05070, 2022
42022
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
D Gusak, G Mezentsev, I Oseledets, E Frolov
Proceedings of the 33rd ACM International Conference on Information and …, 2024
22024
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations
V Baikalov, E Frolov
Companion Proceedings of the ACM on Web Conference 2024, 501-504, 2024
22024
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
A Samra, E Frolov, A Vasilev, A Grigorevskiy, A Vakhrushev
Proceedings of the 18th ACM Conference on Recommender Systems, 309-317, 2024
12024
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
G Mezentsev, D Gusak, I Oseledets, E Frolov
Proceedings of the 18th ACM Conference on Recommender Systems, 475-485, 2024
12024
Mitigating Human and Computer Opinion Fraud via Contrastive Learning
Y Tukmacheva, I Oseledets, E Frolov
arXiv preprint arXiv:2301.03025, 2023
12023
Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge
E Frolov, I Oseledets
arXiv preprint arXiv:1807.10634, 2018
12018
Low Rank Models for Recommender Systems with Limited Preference Information
E Frolov
Skolkovo Institute of Science and Technology, 2018
12018
Self-Attentive Sequential Recommendations with Hyperbolic Representations
E Frolov, T Matveeva, L Mirvakhabova, I Oseledets
Proceedings of the 18th ACM Conference on Recommender Systems, 981-986, 2024
2024
Federated privacy-preserving collaborative filtering for on-device next app prediction
A Saiapin, G Balitskiy, D Bershatsky, A Katrutsa, E Frolov, A Frolov, ...
User Modeling and User-Adapted Interaction, 1-30, 2024
2024
Dynamic Collaborative Filtering for Matrix-and Tensor-based Recommender Systems
A Saiapin, I Oseledets, E Frolov
arXiv preprint arXiv:2312.10064, 2023
2023
Matrix factorization for collaborative recommendations
E Frolov, I Oseledets
Collaborative Recommendations: Algorithms, Practical Challenges and …, 2019
2019
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Artículos 1–20