Aleksandr Vladimirovich Petrov
email: a.petrov.1@research.gla.ac.uk
Research title: End-to-end listwise machine learning ranking models for information retrieval systems
Research Summary
I am working on neural networks based listwise ranking methods in applications to recommender systems and search.
Publications
2024
Abbattista, D., Anelli, V. W., Di Noia, T., Macdonald, C. and Petrov, A. (2024) Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. In: 18th ACM Conference on Recommender Systems, Bari, Italy, 14-18 Oct 2024, pp. 1168-1173. ISBN 9798400705052 (doi: 10.1145/3640457.3691719)
Petrov, A. V., Macdonald, C. and Tonellotto, N. (2024) Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. In: 18th ACM Conference on Recommender Systems, Bari, Italy, 14-18 Oct 2024, pp. 912-917. ISBN 97984007-05052 (doi: 10.1145/3640457.3688168)
Petrov, A. and Macdonald, C. (2024) Improving effectiveness by reducing overconfidence in large catalogue sequential recommendation with gBCE loss. ACM Transactions on Recommender Systems, (Accepted for Publication)
Petrov, A. V. and Macdonald, C. (2024) gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). In: Thirty-Third International Joint Conference on Artificial Intelligence, Jeju, Korea, 3-9 Aug 2024, pp. 8447-8449. ISBN 9781956792041 (doi: 10.24963/ijcai.2024/939)
Petrov, A. V. and Macdonald, C. (2024) Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning. The Web Conference 2024, Singapore, 13-17 May 2024.
Petrov, A. V. (2024) Effective and efficient transformer models for sequential recommendation. In: 17th ACM International Conference on Web Search and Data Mining, Mérida, Yucatán, Mexico, 04-08 Mar 2024, pp. 1150-1151. ISBN 9798400703713 (doi: 10.1145/3616855.3635733)
Petrov, A. V. and Macdonald, C. (2024) RecJPQ: Training Large-Catalogue Sequential Recommenders. In: 17th ACM International Conference on Web Search and Data Mining, Merida, Mexico, 04-08 Mar 2024, pp. 538-547. ISBN 9798400703713 (doi: 10.1145/3616855.3635821)
2023
Petrov, A. V., MacAvaney, S. and Macdonald, C. (2023) Shallow Cross-Encoders for Low-Latency Retrieval. In: 46th European Conference on Information Retrieval (ECIR2024), Glasgow, Scotland, 24-28 March 2024, (Accepted for Publication)
Petrov, A. V. and Macdonald, C. (2023) gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. In: 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, 18-22 Sept 2023, pp. 116-128. ISBN 9798400702419 (doi: 10.1145/3604915.3608783)
Petrov, A. and Macdonald, C. (2023) RSS: Effective and Efficient Training for Sequential Recommendation using Recency Sampling. ACM Transactions on Recommender Systems, (doi: 10.1145/3604436) (Early Online Publication)
Petrov, A. V. and Macdonald, C. (2023) Generative Sequential Recommendation with GPTRec. In: Gen-IR @ SIGIR 2023 Workshop, Taipei, Taiwan, 27 July 2023, (Accepted for Publication)
2022
Petrov, A. and Macdonald, C. (2022) Effective and Efficient Training for Sequential Recommendation using Recency Sampling. In: ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18-23 Sep 2022, pp. 81-91. ISBN 9781450392785 (doi: 10.1145/3523227.3546785)
Petrov, A. and Macdonald, C. (2022) A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. In: ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18-23 Sep 2022, pp. 436-447. ISBN 9781450392785 (doi: 10.1145/3523227.3548487)
Petrov, A., Safilo, I., Tikhonovich, D. and Ignatov, D. (2022) MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation. In: ACM Conference on Recommender Systems - Workshop on Context-Aware Recommender Systems (RecSys CARS 22), Seattle, USA, 18-23 Sep 2022, (Accepted for Publication)
Articles
Petrov, A. and Macdonald, C. (2024) Improving effectiveness by reducing overconfidence in large catalogue sequential recommendation with gBCE loss. ACM Transactions on Recommender Systems, (Accepted for Publication)
Petrov, A. and Macdonald, C. (2023) RSS: Effective and Efficient Training for Sequential Recommendation using Recency Sampling. ACM Transactions on Recommender Systems, (doi: 10.1145/3604436) (Early Online Publication)
Conference or Workshop Item
Petrov, A. V. and Macdonald, C. (2024) Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning. The Web Conference 2024, Singapore, 13-17 May 2024.
Conference Proceedings
Abbattista, D., Anelli, V. W., Di Noia, T., Macdonald, C. and Petrov, A. (2024) Enhancing Sequential Music Recommendation with Personalized Popularity Awareness. In: 18th ACM Conference on Recommender Systems, Bari, Italy, 14-18 Oct 2024, pp. 1168-1173. ISBN 9798400705052 (doi: 10.1145/3640457.3691719)
Petrov, A. V., Macdonald, C. and Tonellotto, N. (2024) Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. In: 18th ACM Conference on Recommender Systems, Bari, Italy, 14-18 Oct 2024, pp. 912-917. ISBN 97984007-05052 (doi: 10.1145/3640457.3688168)
Petrov, A. V. and Macdonald, C. (2024) gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract). In: Thirty-Third International Joint Conference on Artificial Intelligence, Jeju, Korea, 3-9 Aug 2024, pp. 8447-8449. ISBN 9781956792041 (doi: 10.24963/ijcai.2024/939)
Petrov, A. V. (2024) Effective and efficient transformer models for sequential recommendation. In: 17th ACM International Conference on Web Search and Data Mining, Mérida, Yucatán, Mexico, 04-08 Mar 2024, pp. 1150-1151. ISBN 9798400703713 (doi: 10.1145/3616855.3635733)
Petrov, A. V. and Macdonald, C. (2024) RecJPQ: Training Large-Catalogue Sequential Recommenders. In: 17th ACM International Conference on Web Search and Data Mining, Merida, Mexico, 04-08 Mar 2024, pp. 538-547. ISBN 9798400703713 (doi: 10.1145/3616855.3635821)
Petrov, A. V., MacAvaney, S. and Macdonald, C. (2023) Shallow Cross-Encoders for Low-Latency Retrieval. In: 46th European Conference on Information Retrieval (ECIR2024), Glasgow, Scotland, 24-28 March 2024, (Accepted for Publication)
Petrov, A. V. and Macdonald, C. (2023) gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. In: 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, 18-22 Sept 2023, pp. 116-128. ISBN 9798400702419 (doi: 10.1145/3604915.3608783)
Petrov, A. V. and Macdonald, C. (2023) Generative Sequential Recommendation with GPTRec. In: Gen-IR @ SIGIR 2023 Workshop, Taipei, Taiwan, 27 July 2023, (Accepted for Publication)
Petrov, A. and Macdonald, C. (2022) Effective and Efficient Training for Sequential Recommendation using Recency Sampling. In: ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18-23 Sep 2022, pp. 81-91. ISBN 9781450392785 (doi: 10.1145/3523227.3546785)
Petrov, A. and Macdonald, C. (2022) A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. In: ACM Conference on Recommender Systems (RecSys 2022), Seattle, USA, 18-23 Sep 2022, pp. 436-447. ISBN 9781450392785 (doi: 10.1145/3523227.3548487)
Petrov, A., Safilo, I., Tikhonovich, D. and Ignatov, D. (2022) MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation. In: ACM Conference on Recommender Systems - Workshop on Context-Aware Recommender Systems (RecSys CARS 22), Seattle, USA, 18-23 Sep 2022, (Accepted for Publication)
Supervisors
