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

List by: Type | Date

Jump to: 2024 | 2023 | 2022
Number of items: 14.

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, (doi: 10.1145/3699521) (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)

This list was generated on Mon Jan 20 23:22:41 2025 GMT.
Number of items: 14.

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, (doi: 10.1145/3699521) (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)

This list was generated on Mon Jan 20 23:22:41 2025 GMT.