A Qualitative Analysis of Recommender System and its Applications

To predict the interest of users in products, information, and services among the huge quantity of available items, the Recommender System (RS) applies predict algorithms & data mining techniques. Recommender Systems show significant growth in terms of public awareness. It uses different types of user preferences and user requirements data to make a recommendation, hence the concept is very diverse. The enormous growth of information on the internet, the increasing number of visitors to the websites add challenges to Recommender Systems. Therefore, an accurate Recommender System is needed that can produce high-quality recommendations. This paper provides a comprehensive overview and understanding of different scenarios that arise in the field of recommender system.