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Oleg Lashinin
Oleg Lashinin
Tinkoff
在 phystech.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
TTRS: Tinkoff transactions recommender system benchmark
S Kolesnikov, O Lashinin, M Pechatov, A Kosov
arXiv preprint arXiv:2110.05589, 2021
72021
Time-dependent next-basket recommendations
S Naumov, M Ananyeva, O Lashinin, S Kolesnikov, DI Ignatov
European Conference on Information Retrieval, 502-511, 2023
62023
Time-Aware Item Weighting for the Next Basket Recommendations
A Romanov, O Lashinin, M Ananyeva, S Kolesnikov
Proceedings of the 17th ACM Conference on Recommender Systems, 985-992, 2023
42023
Towards Interaction-based User Embeddings in Sequential Recommender Models.
M Ananyeva, O Lashinin, V Ivanova, S Kolesnikov, DI Ignatov
ORSUM@ RecSys, 2022
42022
Make your next item recommendation model time sensitive
E Makhneva, A Sverkunova, O Lashinin, M Ananyeva, S Kolesnikov
Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation …, 2023
22023
Next-basket Recommendation Constrained by Total Cost.
O Lashinin, M Ananyeva
ORSUM@ RecSys, 2022
22022
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
A Milogradskii, O Lashinin, A P, M Ananyeva, S Kolesnikov
Proceedings of the 18th ACM Conference on Recommender Systems, 267-277, 2024
12024
RecBaselines2023: a new dataset for choosing baselines for recommender models
V Ivanova, O Lashinin, M Ananyeva, S Kolesnikov
arXiv preprint arXiv:2306.14292, 2023
12023
SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation
O Lashinin, D Krasilnikov, A Milogradskii, M Ananyeva
arXiv preprint arXiv:2412.14302, 2024
2024
GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram.
O Lashinin, K Bykov, M Ananyeva, S Kolesnikov
KaRS@ RecSys, 35-43, 2023
2023
Utilising Crowdsourcing to Assess the Effectiveness of Item-based Explanations of Merchant Recommendations.
D Krasilnikov, O Lashinin, M Tsygankov, M Ananyeva, S Kolesnikov
CSW@ WSDM, 77-86, 2023
2023
Pre-compiled Recommendation Lists for Online Recommendations
D Krasilnikov, O Lashinin, M Ananyeva, S Kolesnikov
2022
Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress?
M Ananyeva, O Lashinin, M Kuznetsova
KaRS@ RecSys, 22-28, 2022
2022
Next Period Recommendation Reality Check
S Kolesnikov, O Lashinin, M Pechatov, A Kosov
arXiv preprint arXiv:2110.05589, 2021
2021
Time-Dependent Next-Basket Recommendations
O Lashinin, S Kolesnikov, DI Ignatov
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