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
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. (Accepted for Publication)
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. (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. (Accepted for Publication)
Conference Proceedings
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
