2016-Collaborative Denoising Auto-Encoders for Top-N Recommender Systems.pdf

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Most real-world recommender services measure their performance based on the top-N results shown to the end users. Thus, advances in top-N recommendation have far-ranging consequences in practical applications. In this paper, we present a novel method, called Collaborative Denoising Auto-Encoder (CDA

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