Abstract

With the rapid development of mobile Internet, lots of personalized services begin to emerge on the mobile service platform. Firstly, it introduces the modeling of the location context aware service discovery oriented to mobile Internet, which including the definition of Location-based service (LBS), content filtering and the modeling of users' behavior preference. Secondly, it puts forward the framework of location context-based mobile service discovery (LCMSD) by analyzing the users' preference and getting the track of users' behavior. Thirdly, it keeps trace of users' behavior preference and updates the database based on the current location context. Furthermore, the algorithm of LCMSD is brought forward in this paper. It solves the problem that people can't discover the required services timely on the users' current location context. Finally, we design a simulation experiment computing the similarity of LBS and users' behavior preference through mining their requirement. The result shows that it can support the satisfying mobile service personalization.

Paper Details