Hacker News Embeddings with PyTorch

Posted on Tue 12 March 2019 in Machine Learning • Tagged with pytorch, embedding

A PyTorch model is trained on public Hacker News data, embedding posts and comments into a high-dimensional vector space, using the mean squared error (MSE) of dot products as the loss function. The resulting model is reasonably good at finding similar posts and recommending posts for users.

Vector space

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