Recommender systems are becoming more and more popular in eCommerce. Amazon, Netflix, and Zalando have all implemented advanced recommender systems to suggest products to users. A recommender system intends to predict user preferences based on their past behavior and propose items that may be of interest to them. This can be anything from movies to music and books. Recommendation engines are used everywhere, with the main objective of boosting customer engagement and sales.
Python is a very popular programming language for machine learning. Scikit-learn, a Python library for machine learning can be used to build recommender systems. One can implement different machine learning algorithms in scikit-learn and build recommender systems. There are various other Python libraries also available that can be used to build recommender systems. In this kit, we have listed the best Python libraries for building recommendation systems.