IR
Anthology
Community
Andrey V.
Savchenko
2026
doi
dblp
Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation.
Nikita Severin
|
Danil Kartushov
|
Vladislav Urzhumov
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Vladislav Kulikov
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Oksana Konovalova
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Alexey Grishanov
|
Anton Klenitskiy
|
Artem Fatkulin
|
Alexey Vasilev
|
Andrey V. Savchenko
|
Ilya Makarov
Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II
doi
dblp
Topological Metric for Unsupervised Embedding Quality Evaluation.
Aleksei Shestov
|
Anton Klenitskiy
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Daria Denisova
|
Amurkhan Dzagkoev
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Daniil Petrovich
|
Andrey V. Savchenko
|
Maksim Makarenko
Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II
doi
dblp
Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models.
Harry Proshian
|
Nikita Severin
|
Sergey I. Nikolenko
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Ivan Kireev
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Andrey V. Savchenko
|
Ivan Sergeev
|
Maria Postnova
|
Ilya Makarov
Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
2025
doi
dblp
Multimodal Banking Dataset: Understanding Client Needs through Event Sequences.
Dzhambulat Mollaev
|
Ivan Kireev
|
Mikhail Orlov
|
Alexander Kostin
|
Ivan Karpukhin
|
Maria Postnova
|
Gleb Gusev
|
Andrey V. Savchenko
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi
dblp
LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models.
Aleksei Shestov
|
Omar Zoloev
|
Maksim Makarenko
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Mikhail Orlov
|
Egor Fadeev
|
Ivan Kireev
|
Andrey V. Savchenko
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
2024
doi
dblp
Neural Click Models for Recommender Systems.
Mikhail Shirokikh
|
Ilya Shenbin
|
Anton Alekseev
|
Anna Volodkevich
|
Alexey Vasilev
|
Andrey V. Savchenko
|
Sergey I. Nikolenko
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024