Five lessons from building a deep neural network recommender

6 Sep 2018 Simen Eide Audun M. Øygard Ning Zhou

Recommendation algorithms are widely adopted in marketplaces to help users find the items they are looking for. The sparsity of the items by user matrix and the cold-start issue in marketplaces pose challenges for the off-the-shelf matrix factorization based recommender systems... (read more)

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