This paper presents a novel dynamic time interval segmentation technique based item anomaly detection approach to address these problems. In particular, this ...
Jun 10, 2015 · A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval ...
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A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique.
May 8, 2023 · Then, we propose a classification method detecting shill profiles based on various generic and model-based user attributes, most of which are ...
A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique.
Aug 12, 2015 · The method was robust against a hybrid shilling attack, and it improved the accuracy of a recommender system based on collaborative-filtering.
A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique ...
A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation technique.
Apr 24, 2024 · Wen, A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time ...
Xia et al. [43] presented a new dynamic interval segmentation method based on item anomaly detection to detect shilling attacks. Yang et al. [44] ...