Robust Recommendation Algorithm Based on Kernel Principal Component Analysis and Fuzzy C-means Clustering
- 19 March 2018
- journal article
- computer science
- Published by Springer Science and Business Media LLC in Wuhan University Journal of Natural Sciences
- Vol. 23 (2), 111-119
- https://doi.org/10.1007/s11859-018-1301-6
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- A novel item anomaly detection approach against shilling attacks in collaborative recommendation systems using the dynamic time interval segmentation techniqueInformation Sciences, 2015
- Robust Recommendation Algorithm Based on the Identification of Suspicious Users and Matrix FactorizationJournal of Information and Computational Science, 2014
- Threat assessment method based on intuitionistic fuzzy similarity measurement reasoning with orientationChina Communications, 2014
- Recommender systems surveyKnowledge-Based Systems, 2013
- Shilling attacks against recommender systems: a comprehensive surveyArtificial Intelligence Review, 2012
- Shilling Attack Detection—A New Approach for a Trustworthy Recommender SystemINFORMS Journal on Computing, 2012
- Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based ApproachPublished by Springer Science and Business Media LLC ,2007
- Robust collaborative filteringPublished by Association for Computing Machinery (ACM) ,2007
- MovieLens unpluggedPublished by Association for Computing Machinery (ACM) ,2003
- Nonlinear Component Analysis as a Kernel Eigenvalue ProblemNeural Computation, 1998