A Grid-Based Context-Aware Recommender System for Mobile Healthcare Applications

In recent years, with their small size format and ubiquitous connectivity, mobile devices such as smart phones and PDAs can offer interesting opportunities for novel services and applications. In this paper, the authors propose a context-aware doctor recommender system called CONDOR which recommends suitable doctors for a patient or user at the right time in the right place based on his/her preferences and current context (location, time, weather, distance etc.) information. Existing Centralized Recommender Systems (CRSs) cannot resolve the contradiction between good recommendation quality and timely response which is essential in mobile healthcare.