A Recommendation Agent System Using HMM-Based Collaborative Filtering in Smart Home Environment

An item recommendation service provides an item list by considering the circumstance and desire of users without any limitations in time and location. However, the recommendation systems used in the past are unable to satisfy user desires because these systems only reply to the results of consider static information. This paper attempts to design a recommendation agent system (RAS) that is suited to a user's context using HMM-based collaborative filtering (HCF). The recommendation system used in this study uses an open service gateway initiative (OSGi) framework to recognize context information and connect device in smart home.