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README.md

Sequential Variational Autoencoders for Collaborative Filtering

This notebook accompanies the paper, "Sequential Variational Autoencoders for Collaborative Filtering" [ arXiv ] [ ACM Library ] by Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, and Vikram Pudi published at the 12th ACM International Conference on Web Search and Data Mining (WSDM '19).

The notebook provides PyTorch code for the proposed model, "SVAE" along with the data preprocessing for the Movielens-1M dataset.

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