A state-of-the-art Recommender Systems: An overview on Concepts, Methodology and Challenges
Priyanka Jariha, Sanjay Kumar Jain · 2018
Recommender systems have become applications which probe large information space and assist customers in selecting items of their interest. For decades, many techniques have been proposed and improved on recommendation such as content-based, collaborative, knowledge-based etc. This paper aims at presenting a structural model for the recommendation systems, the current generation of recommendation methods and challenges in them. By providing state-of-the-art knowledge, the paper will help researchers and practical professional in their understanding of recommender systems and also leads towards the future direction in the development of recommendations