Generic Service Location Discovery Recommender System for Mobile Users
Tranos Zuva, Keneilwe Zuva · International Journal of Future Computer and Communication · 2014
Recommender systems are information filtering and decision support tools aimed at addressing problems encountered by online browsers.Recommender systems have been applied in many diverse areas including e-commerce, advertising, news, document management and e-learning.The existence of mobile technologies that offer online services anywhere and anytime would make recommender systems useful to mobile users.This research designed and developed a service location discovery recommender system that can help mobile users to find places where they can receive services best suited to them.Experimental results were generated and analyzed to test the efficacy of the generic service location discovery recommender system for mobile users.