Corpus ID: 29057669

Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data

@article{Abad2017CollaborativeFU,
  title={Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data},
  author={Andres G. Abad and Luis I. Reyes Castro},
  journal={ArXiv},
  year={2017},
  volume={abs/1708.04312}
}
Recommender systems (RS) help users navigate large sets of items in the search for "interesting" ones. One approach to RS is Collaborative Filtering (CF), which is based on the idea that similar users are interested in similar items. Most model-based approaches to CF seek to train a machine-learning/data-mining model based on sparse data; the model is then used to provide recommendations. While most of the proposed approaches are effective for small-size situations, the combinatorial nature of… Expand

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