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This the third phase of recommender system and also extension prediction phase. In this step, various methods are used to hold up clients’ choice by predicting the most acceptable items. As per the user’s interest, new items are recommended in this step.

These are the most three important phases of a MCRS. We use different kind of approaches in MCRS to predict good results. The most important and widely used approaches are content-based filtering, CF approach, and knowledge-based approach. We also have a hybrid approach. Now, we will take a deep look about all these approaches of MCRS.