A Survey of Azure ML Recommender System

Abstract

large amount of data in the websites today has made it difficult for the user to access the data which he wishes to view. Recommendation systems are tool or technique which helps user to find the most suitable products. So, the recommendation system plays very important role and helps user to get according to their need and interest. It was not so easy or straightforward to build a recommender but azure machine learning makes it very easy to build one as long as you have your data is ready. Major task of recommender system is to present recommendations to users. Hybrid Recommendation technique use multiple techniques together content based and collaborative filtering.