A Grid-based context-aware recommender system for mobile healthcare applications

Abstract

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, we 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. CRSs are also prone to single point failure and vulnerable to privacy and security threads. So we propose a framework by integrating Grid technology with context-aware recommender system to alleviate these problems. Also we present the construction process of context-aware recommendation as well as the performance of our architecture compare to existing CRSs.