kunal-visoulia / recommender_system

Movies and Music Artist recommender in PYTHON

RECOMMENDER_SYSTEM

This is a submission for the Recommender challenge by Siraj Raval's 'Learn Python for Data science' playlist Video 3 https://www.youtube.com/watch?v=9gBC9R-msAk&list=PL2-dafEMk2A6QKz1mrk1uIGfHkC1zZ6UU&index=3 The Movie Recommender uses movie_lens dataset. The Song Artist Recommmender uses last.fm dataset.

CHALLENGE

part 1 of 2 :

write your own fetch and format method for a different recommendation dataset. I used the last.fm dataset for song Artist Recommender : http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/lastfm-360K.html

Note: The dataset was very large (1.6 GB), So i used only first 100K

part 2 of 2 :

use 3 different loss functions (so 3 different models), compare results, print results for #the best one. - Available loss functions are warp, logistic, bpr, and warp-kos.

Usage

Just Run

python SongArtist_recommender.py
python Movie_recommender.py