It is content-base and includes data manipulation, Data Modeling, Clustering, Reducing dimension, and data visualization The main process uses Deep learning for a content-based recommendation system, and after it is finished using the output matrix for each separated model to find similarities and after that using the hierarchy to find the cluster number and after that run, K-means to add cluster number for graphing after reducing dimension to three