| 2025 | ECIR | Improving Minimax Group Fairness in Sequential Recommendation. | Krishna Acharya, David Wardrope, Timos Korres, Aleksandr V. Petrov, Anders Uhrenholt |
| 2025 | ECIR | CountNet: Utilising Repetition Counts in Sequential Recommendation. | Aleksandr V. Petrov, Efi Karra Taniskidou, Sean Murphy |
| 2025 | RecSys | Balancing Accuracy and Novelty with Sub-Item Popularity. | Chiara Mallamaci, Aleksandr V. Petrov, Alberto Carlo Maria Mancino, Vito Walter Anelli, Tommaso Di Noia, Craig Macdonald |
| 2025 | RecSys | eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion. | Daria Tikhonovich, Nikita Zelinskiy, Aleksandr V. Petrov, Mayya Spirina, Andrei Semenov, Andrey V. Savchenko, Sergei Kuliev |
| 2025 | SIGIR | Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings. | Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto |
| 2024 | ECIR | Effective and Efficient Transformer Models for Sequential Recommendation. | Aleksandr V. Petrov |
| 2024 | ECIR | Transformers for Sequential Recommendation. | Aleksandr V. Petrov, Craig Macdonald |
| 2024 | ECIR | Shallow Cross-Encoders for Low-Latency Retrieval. | Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald |
| 2024 | IJCAI | gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). | Aleksandr V. Petrov, Craig Macdonald |
| 2024 | WSDM | Effective and Efficient Transformer Models for Sequential Recommendation. | Aleksandr V. Petrov |
| 2024 | WSDM | RecJPQ: Training Large-Catalogue Sequential Recommenders. | Aleksandr V. Petrov, Craig Macdonald |
| 2022 | RecSys | Effective and Efficient Training for Sequential Recommendation using Recency Sampling. | Aleksandr V. Petrov, Craig Macdonald |
| 2022 | RecSys | A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. | Aleksandr V. Petrov, Craig Macdonald |
| 2021 | WSDM | Attention-based neural re-ranking approach for next city in trip recommendations. | Aleksandr V. Petrov, Yuriy Makarov |