See What You Want, Feel What You See: The Personalized Re-recommendation Framework Using Hybrid Strategies for Field Trip Plan

This paper describes a preliminary framework of an adaptive user-centric field trip planning using a hybrid recommendation technique. It presents the initial See What You Want, Feel What You See (SeeWYW, FeeIWYS) framework that takes into account hybrid recommendation strategies with hybrid reasoning techniques. This framework has been developed to adapt to different user profiles and changeable contextual information, such as emotion. As the intention is on preparing an interactive tool for a student-centric field trip plan, this initial study focuses on recommending a visiting route through a virtual museum by using image-based virtual tour. It is hoped that this framework will guide the quest to incorporate the positive elements presented by a previous work on image recommender systems that may expectantly produce good system usability and user acceptance, as well as let the students learn and enjoy their knowledge.