A review of recommendation system: Techniques, limitation and evaluation

A current research focus on how extract items or services that consumers are interested in from vast amounts of information and present them in a tailored way based on the score prediction findings. This is due to the rapid growth of information technology and Internet technology. This issue has led to the development of a Recommendation System. The use of Recommendation System on e-commerce websites is essential for assisting customers in choosing the best products. A Recommendation System is among the strongest strategies for increasing sales and attracting clients. The process of making purchases with an internet Recommendation System is rather quick and simple. In the present, e-commerce has been discovered to have a strong relationship with consumer happiness, and success is essentially built on customer trust. This paper’s goal is to demonstrate several methods for Recommendation Systems, problems with Recommendation Systems, and assessment measures.