This paper proposed a new method called stacked denoising autoencoder based on collaborative filtering after studying the way of improving precision of recommended algorithm. SDAE was a mul-layer deep learning model which could learn significant dependencies from input information. It used ratings given to items by users to learn the latent feature,got results of dimensionality reduction after PCA to calculate attribute similarities. Then it added the grade similarities computed with concealed feature as th...
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