An Ensemble Detection Method for Shilling Attacks Based on Features of Automatic Extraction

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Faced with the evolving attacks in recommender systems, many detection features have been proposed by human engineering and used in supervised or unsupervised detection methods. However, the detection features extracted by human engineering are usually ai
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