A Context-Aware Recommender System for AR-based Shopping Support

Abstract

AR (Augmented Reality) technologies enable us to support shopping in the real world by presenting relevant information about recognized objects. When acquiring related information of objects, it is insufficient to simply search for images or characters related to the objects. It is necessary to select an appropriate information source from multiple dedicated information sources according to the context. Regarding the selection of information source, a selective meta search engine can be used. In this research, we aim to realize a new selective meta search engine considering the context in the real world to take advantage of AR technologies through a development of an AR-based shopping support system. This paper discusses a design of the selective meta search engine for AR applications.