Oleg Lashinin

Orcid: 0000-0001-8894-9592

According to our database1, Oleg Lashinin authored at least 11 papers between 2021 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Make your next item recommendation model time sensitive.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Time-Aware Item Weighting for the Next Basket Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Next-basket Recommendation Constrained by Total Cost.
Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram.
Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Time-Dependent Next-Basket Recommendations.
Proceedings of the Advances in Information Retrieval, 2023

Utilising Crowdsourcing to Assess the Effectiveness of Item-based Explanations of Merchant Recommendations.
Proceedings of the 4th Crowd Science Workshop on Collaboration of Humans and Learning Algorithms for Data Labeling co-located with ACM International WSDM Conference (WSDM 2023), 2023

RecBaselines2023: a new dataset for choosing baselines for recommender models.
Proceedings of the 13th International Workshop on Bibliometric-enhanced Information Retrieval co-located with 45th European Conference on Information Retrieval (ECIR 2023), 2023

2022
Next-basket Recommendation Constrained by Total Cost.
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress?
Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Towards Interaction-based User Embeddings in Sequential Recommender Models.
Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

2021
TTRS: Tinkoff Transactions Recommender System benchmark.
CoRR, 2021


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