RECOMMENDATION SYSTEM WITH DETECTION AND PREVENTION OF MALICIOUS FEEDBACK RATING

Recommendation system can help users to provide right items from large number of avalible 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 we present a novel collabroative filtering approach called NPC collabroative filtering for item i.e books recom mendations 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.The experimental results shows that our approac h achieves better accuracy than other competing approaches