Abstract

Along with the rapid development of mobile Internet, more and more services have emerged on the mobile platform. In this study, it proposes the model of location context aware service discovery oriented to mobile Internet. Firstly, it introduces the Location-Based Service (LBS), users' behavior preference expression and the process of content filtering. Secondly, it puts forward the model of Location Context-based Service Discovery (LCMSD) by acquiring the data of users' behavior and gaining their requirements. Thus it keeps track of users' behavior preference and updates their preference according to the location context. Thirdly, the algorithm of location-based service discovery is brought forward, which focuses on the model of location context and describing users' preference and location-based service in detail. So it solves the problem that users can't discover the required services in the current location context timely. Finally we design a simulation experiment of mobile service which computes the similarity of mobile service and users' behavior preference through mining users' preference. The result shows that it can support mobile service personalization.

Keywords:

Algorithm, Location-Based Service (LBS), location context, Location Context aware Service Discovery Model (LCMSD), service discovery,

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Competing interests

The authors have no competing interests.

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The authors have no competing interests.