RecSysSpotify

Los playlistos Team: Anna Bach, Jose Mena, Guillem Pascual, Oriol Pujol, Jordi Vitrià and Santi Seguí Univerisy of Barcelona. you can send us an email at santi.segui@ub.edu.

REQUIREMENTS:

• Python >=3.5
• gensim
• anaconda
• tensorflow >=1.5
• whoosh

STEP 1: Obtaining The Data

1. Download Spotify's official dataset and place the 'data' folder into the root folder of the project.
2. save "challenge_set.json" into "utils_spotify" folder

STEP 2: CREATE DICTIONARY AND MODELS used in the final recommender function

RUN:

• 1_MPD_id_trackuri_maker.ipynb
• 2_common_titles_and_tracks_maker.ipynb
• 3_MPD_line_sentences_maker.ipynb
• 4_word2vec_tracks.ipynb
• 5_word2vec_titles.ipynb
• 6_word2vec_artists.ipynb

STEP 3:

1. RUN all notebook "create_final_submission.ipynb" to create submission

License

Usage of the Million Playlist Dataset is subject to these license terms