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Detecting Anomalous Ratings in Collaborative Filtering Recommender Systems.

, and . Int. J. Digit. Crime Forensics, 8 (2): 16-26 (2016)

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Defending Grey Attacks by Exploiting Wavelet Analysis in Collaborative Filtering Recommender Systems.. CoRR, (2015)A Transformer Model for Coastline Prediction in Weitou Bay, China., , , , , and . Remote. Sens., 15 (19): 4771 (October 2023)Probabilistic Inference and Trustworthiness Evaluation of Associative Links Toward Malicious Attack Detection for Online Recommendations., , and . IEEE Trans. Dependable Secur. Comput., 19 (2): 879-896 (2022)Fined-grained Aspect Extraction from Online Reviews for Decision Support., , , , and . TrustCom, page 1536-1541. IEEE, (2020)Uncovering anomalous rating behaviors for rating systems., , , and . Neurocomputing, (2018)Identifying Intrusion Infections via Probabilistic Inference on Bayesian Network., , , and . DIMVA, volume 9148 of Lecture Notes in Computer Science, page 307-326. Springer, (2015)The relationship between DEM resolution, accumulation area threshold and drainage network indices., , , and . Geoinformatics, page 1-5. IEEE, (2010)Detecting Anomalous Ratings in Collaborative Filtering Recommender Systems., and . Int. J. Digit. Crime Forensics, 8 (2): 16-26 (2016)Surface modeling of human population on subdistrict scale using SPOT5 image and census data: A case study of Xiamen, P. R. China., , , , , and . Geoinformatics, page 1-5. IEEE, (2010)Detecting Anomalous Ratings Using Matrix Factorization for Recommender Systems., , and . WAIM (2), volume 9659 of Lecture Notes in Computer Science, page 3-14. Springer, (2016)