Introduction - If you have any usage issues, please Google them yourself
Collaborative filtering recommendation algorithm is the earliest and well-known recommendation algorithm. The main function is prediction and recommendation. The algorithm discovers users'preferences by mining users' historical behavior data, divides users into groups based on different preferences and recommends products with similar tastes. Collaborative filtering recommendation algorithms are divided into two categories: user-based collaborative filtering and item-based collaborative filtering. This algorithm is based on user-based collaborative filtering.