This project is mainly based on some commonly used recommended methods, as well as reference to other projects, and on the basis of these to improve, the project uses python and some open source library development.The main methods include content-based, collaborative filtering, association rules, matrix decomposition and so on. The experimental data will come from movielens, ml-100k.
个性化推荐模型，主要包括als、als_wr、biaslfm、lfm、nmf、svdpp、基于内容、基于内容回归、user-cf、item-cf、slopeone、关联规则以及基于内容和cf的混合等模型。 get start:main_test/test.py