A SURVEY ON COMPREHENSIVE TRENDS IN RECOMMENDATION SYSTEMS & APPLICATIONS

Authors

  • Ssvr Kumar Addagarla Vellore Institute of Technology (VIT)
  • Anthoniraj Amalanathan Vellore Institute of Technology (VIT)

DOI:

https://doi.org/10.7903/ijecs.1705

Keywords:

Recommendation System, Content-Based, Collaboration-Based, Knowledge-Based, Demographic, Deep Learning, Recommendation System Applications.

Abstract

Recommendation System (RS) gains considerable popularity from the past decade in E-Commerce and other allied fields. This paper investigates the various traditional Recommendation System like Content-based (CB), Collaboration Filtering-based (CF), Demographic-based, Knowledge-based and discussed current trends in recommendation system like location-aware, context-aware, and Deep Learning techniques. Various improvements and limitations in Recommendation systems have been listed out with evolution metrics for analyzing the accuracy of the algorithms. This paper well-elaborated for the past, present and future scope of the Recommendation System which would be useful for researchers to get familiarity with this domain. 

 

 

To cite this document: Ssvr Kumar Addagarla and Anthoniraj Amalanathan, "A SURVEY ON COMPREHENSIVE TRENDS IN RECOMMENDATION SYSTEMS & APPLICATIONS ", International Journal of Electronic Commerce Studies, Vol.10, No.1, pp.45-88, 2019.

Permanent link to this document:
http://dx.doi.org/10.7903/ijecs.1705

Author Biographies

Ssvr Kumar Addagarla, Vellore Institute of Technology (VIT)

School of Computer Science and Engineering and Research Scholar

Anthoniraj Amalanathan, Vellore Institute of Technology (VIT)

School of Computer Science and Engineering and Associate Professor

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Published

2019-07-23

Issue

Section

All other fields about EC Studies