User needs for location-aware mobile services
Personal and Ubiquitous Computing
User models for intent-based authoring
User models for intent-based authoring
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Enable collaborative learning: an improved e-learning social network exploiting approach
ACOS'07 Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6
E-learner community exploiting based on collaboration filtering
AIC'06 Proceedings of the 6th WSEAS International Conference on Applied Informatics and Communications
An improved e-learner community construction algorithm based on learning interest feature vectors
AIC'06 Proceedings of the 6th WSEAS International Conference on Applied Informatics and Communications
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With the widely used of the intelligent mobile phones with the GPS, the location-based services has become the a hot issue of mobile communications research. This paper implements a Mobile Location-based Restaurant Navigation and Recommend System. In order to improve server-side response speed for real-time query, we propose a memory pool model, the expansion Accept command, no-data client polling and interrupt mechanism, which aims to greatly optimize the server-side control procedures. On the client side, we combine the latest Web2.0 application data with the location-based data, and propose a collaborative assessment and recommend mechanisms, which can provide users with real-time location-based restaurant and recommend personalized navigation.