A Multiple-Mode Mobile Location-Based Information Retieve System

How to provide dynamic location-based service and increase the information retrieve accuracy especially in the limited mobile screen have become the important research areas in the development of mobile location-based services. Considering different service requirements, this paper firstly proposes multiple information retrieve modes as Fuzzy Constraint Keywords based Searching Mode, Location-based E-Map Browsing Mode, 3-D Tag-Cloud based Collaborative Sharing Mode, which can enable the user to choose suitable retrieve mode and find the useful entity information much quickly. Furthermore, this paper introduces the latest Web2.0 application technologies into our mobile information retrieve system which can provide users with dynamic recommendation information based on the collaborative value-added data. In the end of this paper, it also describes a case study of a mobile location-based restaurant retrieve system. The successful applications of this system in China certificate the efficiency of our ideas.