README.txt

Deep-MF
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Deep-MF uses a simple 2-layer neural network to learn latent embeddings for users and items, using implicit feedback data. The network takes a user's full history of implicit signals as input and tries to predict their recent history (~2 weeks) as output. I'll add a fuller description and a comparison with other methods (IMF, Logistic-MF, word2vec) later when I have the time.