원문정보
초록
영어
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 under mobile Internet environment. First of all, it starts from QoS constraints as well as user preferences in this paper, and then describes a mobile service selection framework based on QoS constraints and user preferences. Furthermore, a User Preferences Database is built in modeling user preferences by Similarity Formula. 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 (OLRP) 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.
목차
1. Introduction
2. Modeling of Location-based Services Selection
2.1. Framework of Service Selection
2.2. Modeling of QoS Attributes
2.3. Modeling of User Preferences
3. Algorithm of LBS Selection
3.1. Description of LBS Selection
3.2. Pseudo Code of Algorithm
4. Experiment
4.1. Experiment Environment
4.2. Experiment Index
4.3. Results of the Experiment
5. Conclusion
Acknowledgements
References