Aleksandr V. Petrov

Orcid: 0000-0002-0911-3605

According to our database1, Aleksandr V. Petrov authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Aligning GPTRec with Beyond-Accuracy Goals with Reinforcement Learning.
CoRR, 2024

RecJPQ: Training Large-Catalogue Sequential Recommenders.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Shallow Cross-Encoders for Low-Latency Retrieval.
Proceedings of the Advances in Information Retrieval, 2024

Transformers for Sequential Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

Effective and Efficient Transformer Models for Sequential Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

2023
Generative Sequential Recommendation with GPTRec.
CoRR, 2023

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation.
CoRR, 2022

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Effective and Efficient Training for Sequential Recommendation using Recency Sampling.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
Attention-based neural re-ranking approach for next city in trip recommendations.
Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021


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