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email: a.petrov.1@research.gla.ac.uk
Research title: End-to-end listwise machine learning ranking models for information retrieval systems
I am working on neural networks based listwise ranking methods in applications to recommender systems and search.
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) gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. In: 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, 18-22 Sept 2023, (Accepted for 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)
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)
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) gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling. In: 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, 18-22 Sept 2023, (Accepted for 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)
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)
