Title: Recommender systems: an overview, research trends, and future directions

Authors: Pradeep Kumar Singh; Pijush Kanti Dutta Pramanik; Avick Kumar Dey; Prasenjit Choudhury

Addresses: National Institute of Technology, Durgapur, India ' National Institute of Technology, Durgapur, India ' National Institute of Technology, Durgapur, India ' National Institute of Technology, Durgapur, India

Abstract: Recommender system (RS) has emerged as a major research interest that aims to help users to find items online by providing suggestions that closely match their interest. This paper provides a comprehensive study on the RS covering the different recommendation approaches, associated issues, and techniques used for information retrieval. Thanks to its widespread applications, it has induced research interest among a significant number of researchers around the globe. The main purpose of this paper is to spot the research trend in RS. More than 1,000 research papers, published by ACM, IEEE, Springer, and Elsevier since 2011 to the first quarter of 2017, have been considered. Several interesting findings have come out of this study, which will help the current and future RS researchers to assess and set their research roadmap. Furthermore, this paper also envisions the future of RS which may open up new research directions in this domain.

Keywords: recommender system; issues; challenges; literature review; filtering approach; filtering technique; information retrieval technique; machine learning; research trends; future direction.

DOI: 10.1504/IJBSR.2021.111753

International Journal of Business and Systems Research, 2021 Vol.15 No.1, pp.14 - 52

Received: 14 May 2018
Accepted: 21 Apr 2019
Published online: 14 Dec 2020 *

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