eddieir / recommendation_systems

Movie and Book recommendation systems

Recommendation_systems

This repository contains of three methodology for implementing the recommendation system

At the BOOK folder you could find the Recommendation system which implemented for recommending the books based on the ratings done by users

At Movie_Recommendation_al folder you could find the A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83

At the body of the repo you could find the simple movie recommendation that works based on the user ratings for each movie

recommendation_systems's Issues

not find file : data/training.csv

Getting the following errors:

Traceback (most recent call last):
File "captrain.py", line 139, in
df = pd.read_csv('data/training.csv')
File "/Users/gimhyeonjong/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 702, in parser_f
return _read(filepath_or_buffer, kwds)
File "/Users/gimhyeonjong/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 429, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/Users/gimhyeonjong/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 895, in init
self._make_engine(self.engine)
File "/Users/gimhyeonjong/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 1122, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "/Users/gimhyeonjong/venv/lib/python3.6/site-packages/pandas/io/parsers.py", line 1853, in init
self._reader = parsers.TextReader(src, **kwds)
File "pandas/_libs/parsers.pyx", line 387, in pandas._libs.parsers.TextReader.cinit
File "pandas/_libs/parsers.pyx", line 705, in pandas._libs.parsers.TextReader._setup_parser_source
FileNotFoundError: [Errno 2] File b'data/training.csv' does not exist: b'data/training.csv'