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.. doi: 10.1108/JHTT-09-2021-0278
Glukhov G., Zhdanov P., Shikov E. Interpretable Embeddings for Geographic Transactional Activity Analysis. Procedia Computer Science. 2023. Vol. 229. pp. 357-366.. doi: 10.1016/j.procs.2023.12.038
Тезисы в сборнике трудов XII Конгресса молодых ученых
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.. doi: 10.1109/ICSC52841.2022.00050
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.. doi: 10.1109/CITDS54976.2022.9914293
Shikov E., Glukhov G., Egorova E. Customer transactional behaviour analysis through embedding interpretation. Procedia Computer Science. 2022. Vol. 212. pp. 284-294.. doi: 10.1016/j.procs.2022.11.012
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.. doi: 10.1109/AICT52784.2021.9620251
Российская Федерация, Санкт-Петербург
Российская Федерация, Санкт-Петербург