Glukhov G., Derevitskii I., Severiukhina O., Bochenina K. Dynamic recommendation algorithms for a COVID-19 restrictions scenario in the restaurant industry. Journal of Hospitality and Tourism Technology. 2024. Vol. 15. No. 1. pp. 1-17.
Тезисы в сборнике трудов XII Конгресса молодых ученых
Glukhov G., Zhdanov P., Shikov E. Interpretable Embeddings for Geographic Transactional Activity Analysis. Procedia Computer Science. 2023. Vol. 229. pp. 357-366.
Glukhov G., Bochenina K. Clustering-based customer representation learning from dynamic transactional data. 2nd IEEE Conference on Information Technology and Data Science, CITDS 2022. 2022. pp. 92-97.
Zhdanov P.S., Glukhov G., Derevitskii I. Machine Learning Approach to Optimal Restaurant Location Search. 16th IEEE International Conference on Semantic Computing, ICSC 2022. 2022. pp. 263-268.
Shikov E., Glukhov G., Egorova E. Customer transactional behaviour analysis through embedding interpretation. Procedia Computer Science. 2022. Vol. 212. pp. 284-294.
Glukhov G., Derevitskii I. Points-of-Interest Recommendation Algorithms for a COVID-19 Restrictions Scenario in the Catering Industry. 15th IEEE International Conference on Application of Information and Communication Technologies, AICT 2021. 2021. pp. 1-6.
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург