Aleksandr Vladimirovich Petrov
email: a.petrov.1@research.gla.ac.uk
Research title: Effective and Efficient Transformer Models for Sequential Recommendation
Research Summary
I am working on neural networks based listwise ranking methods in applications to recommender systems and search.
Publications
2024
Abbattista, Davide, Anelli, Vito Walter, Di Noia, Tommaso, Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X and Petrov, Aleksandr
(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, Aleksandr V., Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X and Tonellotto, Nicola
ORCID: https://orcid.org/0000-0002-7427-1001
(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, Aleksandr Vladimirovich and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr Vladimirovich and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(2024)
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning.
The Web Conference 2024, Singapore, 13-17 May 2024.
Petrov, Aleksandr 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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr V., MacAvaney, Sean ORCID: https://orcid.org/0000-0002-8914-2659 and Macdonald, Craig
ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(2023)
Generative Sequential Recommendation with GPTRec.
In: Gen-IR @ SIGIR 2023 Workshop, Taipei, Taiwan, 27 July 2023,
(Accepted for Publication)
2022
Petrov, Aleksandr and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr, Safilo, Ildar, Tikhonovich, Daria and Ignatov, Dmitry (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, Aleksandr Vladimirovich and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr Vladimirovich and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(2024)
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning.
The Web Conference 2024, Singapore, 13-17 May 2024.
Conference Proceedings
Abbattista, Davide, Anelli, Vito Walter, Di Noia, Tommaso, Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X and Petrov, Aleksandr
(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, Aleksandr V., Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X and Tonellotto, Nicola
ORCID: https://orcid.org/0000-0002-7427-1001
(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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr 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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr V., MacAvaney, Sean ORCID: https://orcid.org/0000-0002-8914-2659 and Macdonald, Craig
ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr V. and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(2023)
Generative Sequential Recommendation with GPTRec.
In: Gen-IR @ SIGIR 2023 Workshop, Taipei, Taiwan, 27 July 2023,
(Accepted for Publication)
Petrov, Aleksandr and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr and Macdonald, Craig ORCID: https://orcid.org/0000-0003-3143-279X
(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, Aleksandr, Safilo, Ildar, Tikhonovich, Daria and Ignatov, Dmitry (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)