Received 21.07.2021, Revised 18.10.2021, Accepted 22.11.2021

Methods for developing recommendation systems

Maksym Danylenko, Iryna Kolesnyk

The basic principles of building a recommendation system and methods for solving the problem of cold start arising from insufficient interaction of the user with the software at the initial stages of working with it are considered. The efficiency of the recommender system has been increased when there is insufficient data sampling and when new elements appear in the system for which there are no statistics

recommendation system, cold start problem, web service, machine learning, algorithms
10-15
Danylenko, M., & Kolesnyk, I. (2021). Methods for developing recommendation systems. Information Technologies and Computer Engineering, 18(3), 10-15. https://doi.org/10.31649/1999-9941-2021-52-3-10-15

References

References in the process of publication