Intelligent information agents: review and challenges for distributed information sources
Journal of the American Society for Information Science
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
User Testing a Hypermedia Tour Guide
IEEE Pervasive Computing
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Web Based Self-Directed Learning Environment Using Learner's Annotation
ICCE '02 Proceedings of the International Conference on Computers in Education
Building a Recommender Agent for e-Learning Systems
ICCE '02 Proceedings of the International Conference on Computers in Education
VISCORS: A Visual-Content Recommender for the Mobile Web
IEEE Intelligent Systems
A Fuzzy Semantic Approach to Retrieving Bird Information Using Handheld Devices
IEEE Intelligent Systems
Modeling Context-Aware e-Learning Scenarios
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
RFID: A Technical Overview and Its Application to the Enterprise
IT Professional
Computer
Personalized Recommendation Services Based on Service-Oriented Architecture
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
An Effective Technique for Personalization Recommendation Based on Access Sequential Patterns
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
Communication platform to enable collaborative tourism applications
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
| Hi-index | 0.00 |
Tourism plays an important role in the economies of many countries. Tourism can secure employment, foreign exchange earnings, investment and regional development. To attract more tourists and local visitors, many stakeholders such as natural parks, museums, art galleries, hotels and restaurants provide personalised services to meet individual needs. With the increasing number of tourists comes an increased demand for guides at education-oriented leisure centers. Each provided needs unique way to present their services. In this study, these educational leisure centres are coarsely divided into art and science. This paper introduces the architecture of the proposed guide system including a PDA-based recommendation guide for art museums and an Radiofrequency identification-based interactive learning system using collaborative filtering technology for science and engineering education. Evaluations of the two systems reveal that the system inspires and nurtures visitors' interest in science and arts.