A Location-Based Services Selection Model and Algorithm with QoS Constraints under Mobile Internet Environment

With the rapid development of communication technology and mobile Internet, selecting from mass Location-based Services to meet the needs for different users becomes the research hot spot. First, it starts from QoS constraints as well as user preferences in this paper, then describes a mobile service selection framework. Furthermore, a User Preferences Database is built in modeling user preferences. Users´ feedback is adopted to update User Preferences Database, which makes the combination between QoS constraints and user preferences more compact. Then, a LBS selection model and algorithm are proposed separately, which considers the QoS attributes and user preferences. Finally, it takes Online Learning Resources Platform based on mobile terminals as a sample, and designs a mobile course resources selection system on campus. The results show that the proposed algorithm is precision and effective in solving the problem of service selection to support Location-based Services personalization.