Algorithms for clustering data
Algorithms for clustering data
Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Exploiting learning techniques for the acquisition of user stereotypes and communities
UM '99 Proceedings of the seventh international conference on User modeling
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Automatic personalization based on Web usage mining
Communications of the ACM
A resource-adaptive mobile navigation system
Proceedings of the 7th international conference on Intelligent user interfaces
Efficient web browsing on handheld devices using page and form summarization
ACM Transactions on Information Systems (TOIS)
The role of adaptive hypermedia in a context-aware tourist GUIDE
Communications of the ACM - The Adaptive Web
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Presenting route instructions on mobile devices
Proceedings of the 8th international conference on Intelligent user interfaces
Intelligent Systems for Tourism
IEEE Intelligent Systems
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
ECSCW'03 Proceedings of the eighth conference on European Conference on Computer Supported Cooperative Work
Clustering in mobile ad hoc networks through neighborhood stability-based mobility prediction
Computer Networks: The International Journal of Computer and Telecommunications Networking
An innovative mobile electronic tourist guide application
Personal and Ubiquitous Computing
SPETA: Social pervasive e-Tourism advisor
Telematics and Informatics
HIPS: Hyper-Interaction within Physical Space
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
Review: Personalizing recommendations for tourists
Telematics and Informatics
Diffusion and success factors of mobile marketing
Electronic Commerce Research and Applications
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
Electronic mobile guides: a survey
Personal and Ubiquitous Computing
Recommender Systems Handbook
A mobile 3D-GIS hybrid recommender system for tourism
Information Sciences: an International Journal
Entertainment on the go: finding things to do and see while visiting distributed events
Proceedings of the 4th Information Interaction in Context Symposium
iTravel: A recommender system in mobile peer-to-peer environment
Journal of Systems and Software
Knowledge-Based Systems
Developing a ubiquitous tourist guide
Proceedings of the 19th Brazilian symposium on Multimedia and the web
A content search system considering the activity and context of a mobile user
Personal and Ubiquitous Computing
Review: Mobile recommender systems in tourism
Journal of Network and Computer Applications
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Mobile tourist guides have attracted considerable research interest during the past decade, resulting in numerous standalone and web-based mobile applications. Particular emphasis has been given to personalization of services, typically based on travel recommender systems used to assist tourists in choosing places to visit; these systems address an important aspect of personalization and hence reduce the information burden for the user. However, existing systems fail to exploit information, behaviours, evaluations or ratings of other tourists with similar interests, which would potentially provide ground for the cooperative production of improved tourist content and travel recommendations. In this paper, we extend this notion of travel recommender systems utilizing collaborative filtering techniques while also taking into account contextual information (such as the current user's location, time, weather conditions and places already visited by the user) for deriving improved recommendations in pervasive environments. We also propose the use of wireless sensor network (WSN) installations around tourist sites for enabling precise localization and also providing mobile users convenient and inexpensive means for uploading tourist information and ratings about points of interest (POI) via their mobile devices. We also introduce the concept of `context-aware rating', whereby user ratings uploaded through WSN infrastructures are weighted higher to differentiate among users that rate POIs using the mobile tourist guide application while onsite and others using the Internet away from the POI.