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В работе представлены общие подходы к разработке рекомендательных систем. Описаны метрики для оценки и сравнения моделей коллаборативной фильтрации. Разработана программная реализация рекомендательной системы на языке программирования R. Проведен анализ построенных моделей и даны рекомендации по выбору алгоритмов и параметров в зависимости от поставленной задачи.
The paper presents general approaches to the development of recommender systems. Metrics for evaluation and comparison of collaborative filtering models are described. The software implementation of the recommendation system has been developed using R programming language. The analysis of the models has been carried out and recommendations on the choice of algorithms and parameters depending on the task have been given.
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