Week - 11 Resource

Robust Collaborative Filtering is a new filtering concept that uses Robust statistics. Robust statistics is an area within statistics where estimation methods have been developed that detoriate more gracefully in the presence of unmodeled noise and slight departures from modeling assumptions. This prevents against noisy ratings that might affect the recommendation results and also different attacks (e.g. profile injection attacks, shilling attacks) through the use of M-estimators and Robust Matrix factorization. But the experimental results from this paper show that application of M-estimators does not add significant stability; modified SVD algorithms outperform RMF in robustness. However the presented algorithm can outperform existing recommendation algorithms in recommendation quality.