Context-Aware Recommendation System Using Content Based Image Retrieval with Dynamic Context Considered

This paper conceptually proposes a context-aware recommendation system that gives/recommends optimal information for users based on 1) the content of an image using content-based image retrieval engines, 2) the contextual information of its similar images on the Web, and 3) user context, namely users´ situations such as their location, we are aiming to extract the detailed information to the text-unpresentable images. It is expected to increase the precision of content-based image matching by combining the partial context obtained there from other types of data such as contextual information.