Oleg Lashinin - RankMe

18 papers A* 1A 2Journal 5Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation. ECIR (3) Oleg Lashinin, Denis Krasilnikov, Aleksandr Milogradskii, Marina Ananyeva
2025	A*	`conf`	SMMR: Sampling-Based MMR Reranking for Faster, More Diverse, and Balanced Recommendations and Retrieval. SIGIR Kiryl Liakhnovich, Oleg Lashinin, Andrei Babkin, Michael Pechatov, Marina Ananyeva
2024	A	`conf`	Revisiting BPR: A Replicability Study of a Common Recommender System Baseline. RecSys Aleksandr Milogradskii, Oleg Lashinin, Alexander P, Marina Ananyeva, Sergey Kolesnikov
2024	J	`jnl`	Revisiting BPR: A Replicability Study of a Common Recommender System Baseline. CoRR Aleksandr Milogradskii, Oleg Lashinin, Alexander P, Marina Ananyeva, Sergey Kolesnikov
2024	J	`jnl`	SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation. CoRR Oleg Lashinin, Denis Krasilnikov, Aleksandr Milogradskii, Marina Ananyeva
2023	—	`conf`	GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram. KaRS@RecSys Oleg Lashinin, Kirill Bykov, Marina Ananyeva, Sergey Kolesnikov
2023	—	`conf`	Make your next item recommendation model time sensitive. UMAP (Adjunct Publication) Elizaveta Makhneva, Anna Sverkunova, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov
2023	—	`conf`	Next-basket Recommendation Constrained by Total Cost. ORSUM@RecSys Denis Krasilnikov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov
2023	—	`conf`	RecBaselines2023: a new dataset for choosing baselines for recommender models. BIR@ECIR Veronika Ivanova, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov
2023	J	`jnl`	RecBaselines2023: a new dataset for choosing baselines for recommender models. CoRR Veronika Ivanova, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov
2023	A	`conf`	Time-Aware Item Weighting for the Next Basket Recommendations. RecSys Aleksey Romanov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov
2023	J	`jnl`	Time-Aware Item Weighting for the Next Basket Recommendations. CoRR Aleksey Romanov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov
2023	—	`conf`	Time-Dependent Next-Basket Recommendations. ECIR (2) Sergey Naumov, Marina Ananyeva, Oleg Lashinin, Sergey Kolesnikov, Dmitry I. Ignatov
2023	—	`conf`	Utilising Crowdsourcing to Assess the Effectiveness of Item-based Explanations of Merchant Recommendations. CSW@WSDM Denis Krasilnikov, Oleg Lashinin, Maksim Tsygankov, Marina Ananyeva, Sergey Kolesnikov
2022	—	`conf`	Next-basket Recommendation Constrained by Total Cost. ORSUM@RecSys Oleg Lashinin, Marina Ananyeva
2022	—	`conf`	Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress? KaRS@RecSys Marina Ananyeva, Oleg Lashinin, Maria Kuznetsova
2022	—	`conf`	Towards Interaction-based User Embeddings in Sequential Recommender Models. ORSUM@RecSys Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov
2021	J	`jnl`	TTRS: Tinkoff Transactions Recommender System benchmark. CoRR Sergey Kolesnikov, Oleg Lashinin, Michail Pechatov, Alexander Kosov