An Extended Recommendation System using Data Mining Implemented for Smart Phones

Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2012, Vol 11, Issue 3

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.

Authors and Affiliations

Robert Gyorodi, Cornelia Gyorodi, Mihai Dersidan

Keywords

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  • EP ID EP650305
  • DOI 10.24297/ijct.v11i3.1169
  • Views 91
  • Downloads 0

How To Cite

Robert Gyorodi, Cornelia Gyorodi, Mihai Dersidan (2012). An Extended Recommendation System using Data Mining Implemented for Smart Phones. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 11(3), 2360-2372. https://europub.co.uk./articles/-A-650305