Search Results for author: Oleg Lashinin

Found 3 papers, 1 papers with code

RecBaselines2023: a new dataset for choosing baselines for recommender models

no code implementations25 Jun 2023 Veronika Ivanova, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov

To solve this problem, we have collected and published a dataset containing information about the recommender models used in 903 papers, both as baselines and as proposed approaches.

Collaborative Filtering Descriptive

Next Period Recommendation Reality Check

no code implementations11 Oct 2021 Sergey Kolesnikov, Oleg Lashinin, Michail Pechatov, Alexander Kosov

In this article, we aim to fill the gap in RecSys methods evaluation on the NPR task using publicly available datasets and (1) introduce the TTRS, a large-scale financial transactions dataset suitable for RecSys methods evaluation; (2) benchmark popular RecSys approaches on several datasets for the NPR task.

Recommendation Systems

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