A Location Context Awareness Personalized Mobile Service Prediction Model and It's Algorithm: Design and Implementation

• DOI: 10.14257/ijgdc.2014.7.6.12
• Publication Date: 2015-12-13T03:43:29Z
• Authors: Minjun Xin; Liyuan Zhou; Han Cao; Zhihua Niu
• Keywords: Location-based service; Mobile service; Mobile internet

With the expansion of mobile Internet, location-based services have become a hot spot inInternet industry.To improve accuracy and efficiency discovery, researchers in web recommendation area are still busy looking for method.In this paper, it proposes LCAMSP model (Location Context Awareness Mobile Service Prediction, LCAMSP) under Internet environment, aims to meet exact personal requirements users' current location preference.Then, similar grouping is also important thread predict continuous movement users.Because each user has own preference, dynamic calculation function weight attribute discussed paper.Finally, taking hotel reservation service as an example, verification algorithm will be applied measure performance method.With premise increasing limited time, significantly improved environment.