"# MSBD5003"
Install Spark On Windwos: https://medium.com/@GalarnykMichael/install-spark-on-windows-pyspark-4498a5d8d66c
extracted feature data: https://drive.google.com/file/d/1USmTWs9a36ErXeklvmNo62kXcQhtiNHz/view?usp=sharing
feature 15\16\17\19: https://drive.google.com/open?id=1uOw40Rm8xCNLtPV8e8wLqtex3R3BKRIn https://drive.google.com/open?id=1vwIjNEMVb827GnSGYVt6DoYy8vToLlTh
Share Google Drive: https://drive.google.com/open?id=1HxRkKRe5gYmLVTKKxeK-t8jBt8IonhPI
Proposal: https://docs.google.com/document/d/10Te3g3Lo6TdiyMkae2gh34FhCs2HGLmbpWQfiZuTWnI/edit
https://blog.csdn.net/MrChen11/article/details/47380681 https://www.researchgate.net/publication/309778358_A_mobile_recommendation_system_based_on_logistic_regression_and_Gradient_Boosting_Decision_Trees
https://github.com/qiangsiwei/competition_tianchi
pyspark 数据集相似 做协同过滤 https://towardsdatascience.com/building-spotifys-discover-weekly-with-spark-4370d5d0df2f
movie recommender https://github.com/KevinLiao159/MyDataSciencePortfolio/blob/master/movie_recommender/movie_recommendation_using_ALS.ipynb