Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation


  • Desabandhu Parasuraman Dr
  • Sathiyamoorthy Elumalai, Dr Vellore Institute of Technology




Recommendation Systems (RS), Collaborative Filtering (CF), Content Based Filtering (CBF), Hybrid Recommender System (HRS, Machine Learning (ML)


Recommender systems have become a vital entity to the business world in form of software tools to make decisions. It estimates the overloaded information and provides the suitable decisions in any kind of business work through online. Especially in the area of e-commerce, recommender systems provide suggestions to users on the items that are likely based upon user’s true interest. Collaborative Filtering and Content Based Filtering are the main techniques of recommender systems. Collaborative Filtering is considered to be the best in all domains and always outperforms Content Based filtering. But, both the techniques have some limitations like data sparsity, cold start, gray sheep and scalability issues. To overcome these limitations, Hybrid Recommender Systems are used by combining Collaborative Filtering and Content Based Filtering. This paper proposes such kind of hybrid system by combining Collaborative Filtering and Content Based Filtering using time variance and machine learning algorithm.

Author Biography

Sathiyamoorthy Elumalai, Dr, Vellore Institute of Technology

Dr.Sathiyamoorthy Elumalai is a Professor at the School of Information Technology and Engineering,VIT University, Vellore, Tamilnadu, India. He received MCA (Master Of Computer Applications) from University of Madras and PhD from VIT University, Tamilnadu, India. His research interests include E-Business, Software Agents, Web Services, Information security and Cloud Computing. He has research Publications in National, International Journals & Conferences. He is also an Editorial Board member for Journals. He chaired many International conferences’ and delivered invited, technical lectures along with keynote addresses.





How to Cite

D. Parasuraman and S. Elumalai, “Hybrid Recommendation Using Temporal Data for Accuracy Improvement in Item Recommendation”, J. inf. organ. sci. (Online), vol. 45, no. 2, Dec. 2021.