pone.0196533.g007.tif (481.62 kB)
Detection results with different datasets with attack size varies.
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posted on 2018-05-09, 17:33 authored by Wei Zhou, Junhao Wen, Qiang Qu, Jun Zeng, Tian ChengDetection results with different datasets with attack size varies.
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shilling behaviour detection structurerating time series analysisStandard testing datasetsrecommender systemsuser profile attributescredibility evaluation modelgroup user findingstime seriestarget item analysisrating time series Recommender systemsshilling attacksgroup user discovery methodShilling attack detectionrating prediction modelSuspicious rating time segmentsForged user-generated content data
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