A LBS-based Mobile Personalized Recommendation System
Qun Chen · Science Technology and Engineering · 2011
With developing of personalized recommendation technology,the rapid development of mobile internet and the important role kinds of mobile smart devices played in people's daily life.A LBS-based mobile personalized recommendation system with LBS(Location-based Service) and personalized recommendation technology are proposed.At first,the system generated candidate recommendation set by filtering with longitude and latitude;then classified or clustered them and filtered each class by using collaborative filtering algorithm;Finally,the finally result set is generated by merging Top-Ni recommendation set of each class.An initial prototype of EatStars on the iPhone platform finally is demonstrated.