Recommendation System: A Systematic Overview on Methods, Issues and Solutions

Abstract

As the technology evolves, the Recommendation System (RS) is becoming a trending topic and widely applied in many fields such as e-commerce sites, health care, stock market, movie,song recommendation. This paper entirely focuses on various methodologies which is helpful to build a recommendation and also the challenges when developing a recommender system. In an e-business site when the user selects any product, then the recommendation will be provided by considering the relationships of user-user, user-item, item-item. In this paper, various methodologies adopted in the existing works are reviewed and summarized with its merits and detriments.Also, it will support the researchers and developers of the recommender system by providing a systematic review of the state-of-the-art recommender systems.This paper gives a survey about the recommendation system, phases of recommendation, filtering techniques, challenges, and some of the research paper which could solve those challenges.