Remigio Hurtado

A Comparative Study of Unsupervised Machine Learning and Deep Learning Techniques for Anomaly Detection in Recommender Systems

Rodolfo Bojorque, Remigio Hurtado, Miguel Arcos-Argudo, Mauricio Ortiz

Recommender systems are increasingly exposed to anomalous user behavior that can distort recommendation outcomes and compromise system reliability. In real-world settings, explicit labels identifying malicious activity are rarely available, motivating the adoption of unsupervised…Read more