An Extended Recommendation System using Data Mining Implemented for Smart Phones

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.