Item Anomaly Detection Based on Dynamic Partition for Time Series in Recommender Systems

• Min Gao ,

  * E-mail: gaomin@cqu.edu.cn

  Affiliations Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, 400044, China, School of Software Engineering, Chongqing University, Chongqing, 400044, China

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• Renli Tian,

  Affiliations Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, 400044, China, School of Software Engineering, Chongqing University, Chongqing, 400044, China

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• Junhao Wen,

  Affiliations Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, 400044, China, School of Software Engineering, Chongqing University, Chongqing, 400044, China

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• Qingyu Xiong,

  Affiliations Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, 400044, China, School of Software Engineering, Chongqing University, Chongqing, 400044, China

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• Bin Ling,

  Affiliation School of Engineering, University of Portsmouth, Portsmouth, PO1 3AH, United Kingdom

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• Linda Yang

  Affiliation School of Engineering, University of Portsmouth, Portsmouth, PO1 3AH, United Kingdom

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