Recommendation Systems: Different Techniques, Challenges and Future Directions

Authors

  • Mahesh T R R Associate Professor and Program Head in the Department of Computer Science and Engineering at Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bengaluru, India.
  • V Vivek Assistant Professor and Program Coordinator in the Department of Computer Science and Engineering (AI & ML) at JAIN (Deemed to be University), Bengaluru.
  • V Vinoth Kumar Associate Professor at Department of Computer Science, JAIN (Deemed-to-be University), Bangalore, India.

DOI:

https://doi.org/10.5281/zenodo.7007620

Keywords:

Recommendation Systems, Challenges , Collaborative Filtering , Hybrid Filtering, Future Directions

Abstract

As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate products online by offering recommendations that closely fit their interests. This article presents a comprehensive study of accomplishments and the future direction in the field of Recommender Systems. It was thought that helping users cope with the issue of data overload was the original role of information retrieval systems or search engines, but what separates suggested systems from the existing search engines is the requirements for personalized useful and interesting. The "intelligence" aspect is what makes a suggestion more interesting and useful. Intelligence is one of the main routes of personalization to know the interests of the user, anticipate the unknown favorites of the user, and eventually provide suggestions by matching the question and the content beyond a basic search. This analysis has resulted in many important results, which will allow current and the next generation researchers of RS to evaluate and set the roadmap of their research in this field.

Author Biographies

Mahesh T R R, Associate Professor and Program Head in the Department of Computer Science and Engineering at Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bengaluru, India.

T. R. Mahesh is serving as Associate Professor and Program Head in the Department of Computer Science and Engineering at Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bengaluru, India.  Dr. Mahesh has to his credit more than 40 research papers in Scopus and SCIE indexed journals of high repute. He has been the editor for books on emerging and new age technologies with publishers like Springer, IGI Global, Wiley etc. Dr. Mahesh has served as reviewer and technical committee member for multiple conferences and journals of high reputation. His research areas include image processing, machine learning, Deep Learning, Artificial Intelligence, IoT and Data Science.

V Vivek, Assistant Professor and Program Coordinator in the Department of Computer Science and Engineering (AI & ML) at JAIN (Deemed to be University), Bengaluru.

V. Vivek is having 13 years of experience in teaching and research domains. His area of expertise includes Distributed Systems, Cloud Computing, Computer Networks, Agent-based Computing. He has completed his Master's and Doctoral degrees from the School of Computer Science and Technology, Karunya University, INDIA. He has received the CISCO certification in CCNA (Cisco Certified Network Associate) from CISCO Systems. He is also a part of the CSICO Networking Academy team as a CISCO Certified Instructor for more than eight years. He has published research articles in leading journals (SCI, and Scopus) and was a resource person for various guest lectures. He is also actively involved in signing academic MoU’s with Infosys, CISCO, and Microsoft and organized various technical FDP's, workshops and hands-on training. Recently has been elevated as IEEE senior member by IEEE. He has worked for universities like Karunya University – Coimbatore and Alliance University- Bangalore and currently working as an Assistant Professor and Program Coordinator in the Department of Computer Science and Engineering (AI & ML) at JAIN (Deemed to be University), Bengaluru.

V Vinoth Kumar, Associate Professor at Department of Computer Science, JAIN (Deemed-to-be University), Bangalore, India.

V. Vinoth Kumar is an Associate Professor at Department of Computer Science, JAIN (Deemed-to-be University), Bangalore, India. His current research interests include Wireless Networks, Internet of Things, machine learning and Big Data Applications. He is the author/co-author of papers in international journals and conferences including SCI indexed papers. He has published as over than 35 papers in IEEE Access, Springer, Elsevier, IGI Global, Emerald etc.. He is the Associate Editor of International Journal of e-Collaboration (IJeC), International Journal of Pervasive Computing and Communications (IJPCC) and Editorial member of various journals.

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Published

2022-08-25

How to Cite

R, M. T. R., V Vivek, & V Vinoth Kumar. (2022). Recommendation Systems: Different Techniques, Challenges and Future Directions. International Journal of Information Technology, Research and Applications, 1(2), 1–8. https://doi.org/10.5281/zenodo.7007620

Issue

Vol. 1 No. 2 (2022): IJITRA

Section

Regular Issue

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Copyright (c) 2022 International Journal of Information Technology, Research and Applications

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