Using machine learning tools and methods for finding similar products according to user

  • Andrii Pirko postgraduate student, Ukrainian National Forestry University, Lviv
  • Iryna Boretska associate professor of CS Department, Ukrainian National Forestry University, Lviv https://orcid.org/0000-0002-6767-104X
Ключові слова: mathematical model, gradient boosting, top-N algorithm

Анотація

The main methods of applying machine learning to search for similar products according to user preferences is described. A method is developed to create a model that can be used to create information systems for searching for relevant products. The results of the study can be used to implement an information system for searching for goods in any field of e-commerce.

Посилання

[1] Cremonesi, P., Koren, Y., and Turin, R. (2010). Performance of recommender algorithms on top-n recommendation tasks. In Proceedings of the RecSys 2010.
[2] Hurley, N. and Zhang, M. (2011). Novelty and diversity in top-n recommendation analysis and evaluation. ACM Transactions on Internet Technology.
Опубліковано
2023-10-21
Як цитувати
Pirko, A., & Boretska, I. (2023). Using machine learning tools and methods for finding similar products according to user. Комп’ютерне моделювання та інформаційні технології, 96-100. вилучено із https://conf.nltu.edu.ua/index.php/conf1/article/view/31
Номер
2023: Комп’ютерне моделювання та інформаційні технології
Розділ
ІНТЕЛЕКТУАЛЬНІ ІНФОРМАЦІЙНІ СИСТЕМИ