A Mobile Location-Based Information Recommendation System Based on GPS and WEB2.0 Services
Combining the GPS location-based services and the latest Web2.0 technologies, this paper builds a scalable personalized mobile information pushing platform, which can provide user-friendly and flexible location-based service. The authors first propose a Location-based Data and Service Middleware based on Service-Oriented Architecture in order to implement Mobile Information Pushing System involved in a variety of formats of data integration and conversion, as well as a combination of a wide range of services. Then, they propose a novel 3-D Tag-Cloud module, so that it can visualize useful retrieval information even in the limited mobile screen. Especially, they design a multi-dimensional collaborative filtering algorithms, in order to achieve dynamic personalized recommendation and mobile information sharing.