Glukhov G., Zhdanov P., Shikov E. Interpretable Embeddings for Geographic Transactional Activity Analysis. Procedia Computer Science. 2023. Vol. 229. pp. 357-366.
Тезисы в сборнике трудов XII Конгресса молодых ученых
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. 2023. pp. in press.
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., 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.
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