A Systematic Review of Recommendation Systems: Applications and Challenges

Authors

  • B. Sunitha Research scholar, Department of Computer science and Engineering, JNTUH University College of Engineering Science and Technology, Kukatpally, Hyderabad, (JNTUH UCESTH) https://orcid.org/0009-0002-2278-7572
  • B. Kranthi Kiran Professor of Computer Science and Engineering, JNTUH University College of Engineering Jagtial (JNTUH UCEJ)

Keywords:

Recommender system, issues, challenges, filtering approach, filtering technique, information retrieval technique

Abstract

Recommendation system has emerged as one of the major and important research interests amongst researchers and scholars that is being used to find items of choice online by providing suggestions matching their interest.  In this review paper we have tried to provide different recommendation systems being used, issues associated with them, and the tools and methodologies used for the retrieval of desired information. This paper's primary goal is to identify the current research direction in recommender systems. This work has produced a number of intriguing discoveries that will help scholars and researchers in evaluating and planning their future directions.

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Architecture of a recommender system

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Published

17.02.2023

How to Cite

Sunitha, B. ., & Kiran, B. K. . (2023). A Systematic Review of Recommendation Systems: Applications and Challenges. International Journal of Intelligent Systems and Applications in Engineering, 11(2), 826–846. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2897

Issue

Vol. 11 No. 2 (2023)

Section

Research Article

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