Evgeny Frolov

Orcid: 0000-0003-3679-5311

According to our database1, Evgeny Frolov authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations.
CoRR, 2024

2023
Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems.
CoRR, 2023

Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction.
CoRR, 2023

Mitigating Human and Computer Opinion Fraud via Contrastive Learning.
CoRR, 2023

Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations.
IEEE Access, 2023

2022
Tensor-based Collaborative Filtering With Smooth Ratings Scale.
CoRR, 2022

Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks.
CoRR, 2022

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

2021
Dynamic Modeling of User Preferences for Stable Recommendations.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

2020
Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
HybridSVD: when collaborative information is not enough.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018
Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge.
CoRR, 2018

Matrix Factorization for Collaborative Recommendations.
Proceedings of the Collaborative Recommendations, 2018

2017
Tensor methods and recommender systems.
WIREs Data Mining Knowl. Discov., 2017

2016
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016


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