A Model of Intelligent Recommender System with Explicit Feedback Mechanism for Performance Improvement

Authors

  • Awodele O Computer Science Department, Babcock University, Ilishan-Remo, Nigeria Author
  • Olakunle Temitope Computer Science Department, Babcock University, Ilishan-Remo, Nigeria Author
  • Adekunle Y A Computer Science Department, Babcock University, Ilishan-Remo, Nigeria Author
  • Eze M O Computer Science Department, Babcock University, Ilishan-Remo, Nigeria Author
  • Afolorunso Adenrele Department of Computer Science and Information Technology, National Open University,Nigeria Author

Keywords:

Recommender System, Privacy, Graph-Oriented System, Database Management System

Abstract

Recommender Systems are intelligent  applications designed to assist the user in a  decision-making process whereby user wants to choose one  item amongst the potentially overwhelming set of  alternative products or services. This work focused on using  users’ bank statements that explicitly shows inflow and  outflow of funds. The dataset used is real and reliable  because the use of non-reliable data in a recommender  system causes users lack of trust in the system. However, the  data collected were anonymized for privacy reasons. The  recommender system was developed as a web application  using Java programming language. Unlike other  recommender systems, the graph-oriented database  management system was used. 

In Google news, 38% of the total views are the result of  recommendations; similarly, 60% of the rented movies  from Netflix come from recommendations and more than  that Amazon sales percentage due to recommendations are  35%. Successful integration of recommendation system by  online companies like Amazon, eBay, Flipkart amongst  others impelled the research community to avail similar  benefits in Financial domain to recommend product and  services [26]. Therefore, recommendation systems are  considered an expedient factor in business nowadays. The  aim of all recommender systems is to provide  recommendation that will be favourably evaluated and  accepted by its users. 

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References

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Published

2020-03-25

Issue

Vol. 8 No. 2 (2020): International Journal of Innovative Research in Computer Science and Technology (Mar) 2020

Section

Articles

How to Cite

A Model of Intelligent Recommender System with Explicit Feedback Mechanism for Performance Improvement . (2020). International Journal of Innovative Research in Computer Science & Technology, 8(2), 20–28. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13334