A Survey and Comparative Analysis of Relevant Approaches of Recommendation System
Nisha Bali, Kulvinder Singh, Sanjeev Dhawan · 2023
From the past decade, there are many recommended system are being used for determining various problem in different field like entertainment, social media and e-commerce. However, RS systems have been gained significant success in giving recommendations of items using different classification methods but still many problems has been encountered in this field like sparsity and cold start. In this study, we are providing the insight of research trends which connects the new technical sides of RS employed in many research areas. To get the reliable survey of the recommendation system, various studies were explored to analyze the different filtering methods, algorithms and challenges associated with the RS. This study revealed an interaction between the process and quantifiable development of several in-depth analyses of recommendation systems and the commercial expansion of the actual employed industry of services. In addition to giving a thorough overview of recommendation systems, this study sheds light on a variety of technologies and trends in the service industry, where recommendation systems are used, for the benefit of several academics who are interested in recommendation systems.