An Extended Recommendation System using Data Mining Implemented for Smart Phones

Authors

  • Robert Gyorodi University of Oradea, Romania, 410087 Oradea, Universității str.
  • Cornelia Gyorodi University of Oradea, Romania, 410087 Oradea, Universității str.
  • Mihai Dersidan University of Oradea, Romania, 410087 Oradea, Universității str.

DOI:

https://doi.org/10.24297/ijct.v11i3.1169

Keywords:

GPS, LBS, Android OS, data mining, recommendation system

Abstract

In this paper we introduce a recommendation system that attempts to solve some of the issues of classical recommendation systems: the need for huge amounts of data to be able to extract meaningful patterns, or for directly visible connections between the users. We propose a rating method that is based on a hierarchical tag system used to describe the subjects of recommendation, and two data mining algorithms that run on the data gathered through this rating system.

Downloads

Download data is not yet available.

Author Biographies

Robert Gyorodi, University of Oradea, Romania, 410087 Oradea, Universității str.

Professor phd. eng, Department of Computer Science and Information Technology, Faculty of Electrical Engineering and Information Technology

Cornelia Gyorodi, University of Oradea, Romania, 410087 Oradea, Universității str.

Professor phd. eng, Department of Computer Science and Information Technology, Faculty of Electrical Engineering and Information Technology

Mihai Dersidan, University of Oradea, Romania, 410087 Oradea, Universității str.

MSc student, Department of Computer Science and Information Technology, Faculty of Electrical Engineering and Information Technology

Downloads

Published

2013-10-15

How to Cite

Gyorodi, R., Gyorodi, C., & Dersidan, M. (2013). An Extended Recommendation System using Data Mining Implemented for Smart Phones. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 11(3), 2360–2372. https://doi.org/10.24297/ijct.v11i3.1169

Issue

Section

Research Articles