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ORCIDAleksandr V. Petrov
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2020 – today
- 2025
[j1]Aleksandr V. Petrov
, Craig Macdonald:
RSS: Effective and Efficient Training for Sequential Recommendation Using Recency Sampling. Trans. Recomm. Syst. 3(1): 1:1-1:32 (2025)- 2024
- [c12]Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald:
Shallow Cross-Encoders for Low-Latency Retrieval. ECIR (3) 2024: 151-166 - [c11]Aleksandr V. Petrov:
Effective and Efficient Transformer Models for Sequential Recommendation. ECIR (5) 2024: 325-327 - [c10]Aleksandr V. Petrov, Craig Macdonald:
Transformers for Sequential Recommendation. ECIR (5) 2024: 369-374 - [c9]Aleksandr V. Petrov, Craig Macdonald:
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). IJCAI 2024: 8447-8449 - [c8]Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto:
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. RecSys 2024: 912-917 - [c7]Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig MacDonald, Aleksandr Vladimirovich Petrov:
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. RecSys 2024: 1168-1173 - [c6]Aleksandr V. Petrov, Craig Macdonald:
RecJPQ: Training Large-Catalogue Sequential Recommenders. WSDM 2024: 538-547 - [c5]Aleksandr V. Petrov:
Effective and Efficient Transformer Models for Sequential Recommendation. WSDM 2024: 1150-1151 - [i11]Aleksandr V. Petrov, Craig Macdonald:
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning. CoRR abs/2403.04875 (2024) - [i10]Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald:
Shallow Cross-Encoders for Low-Latency Retrieval. CoRR abs/2403.20222 (2024) - [i9]Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto:
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. CoRR abs/2408.09992 (2024) - [i8]Davide Abbattista, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald, Aleksandr Vladimirovich Petrov:
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. CoRR abs/2409.04329 (2024) - 2023
- [c4]Aleksandr Vladimirovich Petrov, Craig MacDonald:
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. RecSys 2023: 116-128 - [i7]Aleksandr V. Petrov, Craig Macdonald:
Generative Sequential Recommendation with GPTRec. CoRR abs/2306.11114 (2023) - [i6]Aleksandr V. Petrov, Craig Macdonald:
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. CoRR abs/2308.07192 (2023) - [i5]Aleksandr V. Petrov, Craig Macdonald:
RecJPQ: Training Large-Catalogue Sequential Recommenders. CoRR abs/2312.06165 (2023) - 2022
- [c3]Aleksandr V. Petrov, Craig Macdonald:
Effective and Efficient Training for Sequential Recommendation using Recency Sampling. RecSys 2022: 81-91 - [c2]Aleksandr V. Petrov, Craig Macdonald:
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. RecSys 2022: 436-447 - [i4]Aleksandr V. Petrov, Craig Macdonald:
Effective and Efficient Training for Sequential Recommendation using Recency Sampling. CoRR abs/2207.02643 (2022) - [i3]Aleksandr V. Petrov, Craig Macdonald:
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. CoRR abs/2207.07483 (2022) - [i2]Aleksandr V. Petrov, Ildar Safilo, Daria Tikhonovich, Dmitry I. Ignatov:
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation. CoRR abs/2209.00325 (2022) - 2021
- [c1]Aleksandr V. Petrov, Yuriy Makarov:
Attention-based neural re-ranking approach for next city in trip recommendations. WebTour@WSDM 2021: 41-45 - [i1]Aleksandr V. Petrov, Yuriy Makarov:
Attention-based neural re-ranking approach for next city in trip recommendations. CoRR abs/2103.12475 (2021)
Coauthor Index
aka: Craig MacDonald
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