International Journal of Engineering Sciences & Research Technology (IJESRT)
Recommendation system can help users to provide right items from large number of available items. Recommender systems suggest items to users by using the techniques of collaborative filtering based on historical data of items that users have rated. In this paper, the authors present a novel collaborative filtering approach called NPC collaborative filtering for item i.e. books recommendations with malicious feedback rating detection and prevention system. Goal of detection and prevention system is to detect the malicious feedback rating and avoid or adjust this malicious feedback rating.