Boltzmann Machines Associated Recommender System: A Review

Authors

  • Dheeraj Kumar Sahni Maharshi Dayanand University, Rohtak.
  • Dhiraj Khurana Maharshi Dayanand University, Rohtak.

Keywords:

Boltzmann Machine (BM), Neural Network, Recommender System

Abstract

Nowadays, the information on the internet presents explosive growth; similar information from the space of information available overwhelms users. Collaborative filtering is one of the alternatives used for solving this problem. Recommendations are the need of daily life to choose the better alternative from the given choices. Everyone uses recommendations to approach the good items and services in this interconnected world. The recommender system is a software solution to make this process easy. This article presents the application of Boltzmann machines in recommendation systems for the last twenty years.

Author Biographies

Dheeraj Kumar Sahni, Maharshi Dayanand University, Rohtak.

Department of Computer Science & Engineering, University Institute of Engineering & Tehcnology (UIET), Maharshi Dayanand University (MDU), Rohtak,Haryana, India.

Dhiraj Khurana, Maharshi Dayanand University, Rohtak.

Department of Computer Science & Engineering, University Institute of Engineering & Tehcnology (UIET), Maharshi Dayanand University (MDU), Rohtak,Haryana, India.

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Published

2022-09-21