Location-Based Recommender System for Mobile Devices on University Campus
2015
Mobile computing systems and applications are continuously gaining much interest from academia and industry given their impact on people's daily lives and given the technological advances in artificial intelligence. Particular applications that are capturing a lot of attention are recommender systems due to their importance in helping people with their life-related decisions such as: what book to read, what movie to watch, what music to listen to, where to eat, which links to visit on the web and several other situations where a decision is required. Increase demand to modern technologies and interest in utilizing geospatial information servers to provide useful information and services to mobile users though wireless networks plays a very important factor to location-based services advancement. This research will propose location-based recommendations for university campus information. Seminar and event recommendations are presented as location based service. Combination of Demographic and Collaborative Filtering algorithms is used to recommend the seminars and events. It will also show the direction to the required department or library based on user's current location by GPS. Android application development is used for developing mobile application of location based services.