A music recommender tool. Presentation for the project: https://prezi.com/p/fawmbwylttct/smai-project-final/
- https://towardsdatascience.com/using-word2vec-for-music-recommendations-bb9649ac2484
- https://towardsdatascience.com/how-to-build-a-simple-song-recommender-296fcbc8c85
- https://cse.iitk.ac.in/users/cs365/2014/_submissions/shefalig/project/
- http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/
- https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxuYXJlc2htYW53YW5pfGd4OjNhNWYyOGEzYjk2NjliY2M
- http://www.quuxlabs.com/blog/2010/09/matrix-factorization-a-simple-tutorial-and-implementation-in-python/
- https://towardsdatascience.com/implementing-word2vec-in-pytorch-skip-gram-model-e6bae040d2fb
- https://gist.github.com/mbednarski/da08eb297304f7a66a3840e857e060a0
- http://activisiongamescience.github.io/2016/01/11/Implicit-Recommender-Systems-Biased-Matrix-Factorization/
- http://www.albertauyeung.com/post/python-matrix-factorization/
- https://blog.insightdatascience.com/explicit-matrix-factorization-als-sgd-and-all-that-jazz-b00e4d9b21ea
- https://lazyprogrammer.me/tutorial-on-collaborative-filtering-and-matrix-factorization-in-python/
- http://nicolas-hug.com/blog/matrix_facto_3