wangex08 / aiml-recommanding-system-project

A general movie recommending system involving python, numpy, sklearn, pandas. Applied feature-based modeling, content-based filtering, collaborative filtering and clustering method. Provided hybrid online/offline movie recommendations for anonymous users, new users (cold-start) and old users.

RecommenderSystem

A general form of recommender system

To start:

download https://grouplens.org/datasets/movielens/100k/
unzip to a directory that is in the same root directory of this project folder
your file system layout should be like:
/project - mk-100/ \ RecommenderSystem/

Inside RecommenderSystem/, run the Preprocessing.ipynb in the jupyter notebook
copy mk-100/DATA to RecommenderSystem/ \

now in the DATA/, you have all the data you need for this code to run