Recommendation System with Association Rule Mining and Mobile Augmented Reality

摘要: Mobile augmented reality is a popular technology field that allows simultaneous interaction between the real world and virtual with help of mobile devices. The notion object recognition classification, which plays an important role in applications, process identifying on image assigning it to certain class label. In this study, novel three-dimensional time recommendation system has been developed association rule mining reality. proposed consists three stages: (1) Recognition classification (2) Determination related rules other objects dataset by using Apriori algorithm (3) Adding recommendations generated from as Although study general system, was applied market basket analysis experimental study.