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


May 12, 2022
Artyom Nikitin, Andrei Chertkov, Rafael Ballester-Ripoll, Ivan Oseledets, Evgeny Frolov

* Added affiliation. Fixed table references 

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Tensor-based Collaborative Filtering With Smooth Ratings Scale


May 10, 2022
Nikita Marin, Elizaveta Makhneva, Maria Lysyuk, Vladimir Chernyy, Ivan Oseledets, Evgeny Frolov

* Draft version, submitted for review; 14 pages, 3 tables, 2 figures 

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Dynamic Modeling of User Preferences for Stable Recommendations


Apr 11, 2021
Oluwafemi Olaleke, Ivan Oseledets, Evgeny Frolov

* 8 pages, 1 figure, accepted at UMAP'21 conference 

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Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks


Aug 15, 2020
Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan Oseledets, Alexander Tuzhilin

* Accepted at ACM RecSys 2020; 7 pages 

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Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge


Jul 27, 2018
Evgeny Frolov, Ivan Oseledets

* 9 pages, 1 figure, draft 

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HybridSVD: When Collaborative Information is Not Enough


Jul 27, 2018
Evgeny Frolov, Ivan Oseledets

* 9 pages, 4 figures; a draft version 

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Tensor Methods and Recommender Systems


Feb 18, 2018
Evgeny Frolov, Ivan Oseledets

* Submitted to WIREs Data Mining and Knowledge Discovery. 41 page, 3 figures, 2 tables 

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Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks


Jul 14, 2016
Evgeny Frolov, Ivan Oseledets

* Accepted as a long paper at ACM RecSys 2016 conference, 8 pages, 6 figures, 2 tables 

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