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Shilling Attack Prevention for Recommender Systems Using Social-based Clustering
A Recommender System (RS) is a system that utilizes user and item information to predict the feeling of users towards unfamiliar items. Recommender Systems have become popular tools for online stores due to their usefulness in confidently recommending items to users. A popular algorithm for recommender system is Collaborative Filtering (CF). CF uses other users' profiles to predict whether a user is interested in a particular object. This system, however, is vulnerable to malicious usersdoi:10.25781/kaust-8l99u fatcat:4c7udp26czdotllyhpbh3potw4