Recommendation System Algorithms: An Overview

Today, many companies use big data to make super relevant recommendations and growth revenue. Among a variety of recommendation algorithms, data scientists need to choose the best one according a business's limitations and requirements. To simplify this task, the Statsbot team has prepared an overview of the main existing recommendation system algorithms. Collaborative filtering (CF) and its modifications is one of the most commonly used recommendation algorithms. Even data scientist beginners can use it to build their personal movie recommender system, for example, for a resume project.