Survey of Different Recommendation Systems to Improve the Marketing Strategies on E-commerce
Vikas S. Sethi, Rajneesh Kumar · 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON) · 2022
Making accurate prediction by recommendation system is a great challenge now-a-day. Up surging technology has led different applications and made customers as supreme for commercial organization to promote the business. Many researchers have described and explained various recommendation algorithms of their own as per the need, but developing an efficient recommendation system for accurate prediction has become the basic requirement of E-commerce. In this research work, authors provide the recent survey of all machine learning based recommender systems which helps in improving marketing strategies of E-commerce. Authors cover the fundamental nomenclature and concepts of recommender systems and also outline the key latest research on machine learning-based recommender systems for much more accurate predictions.