Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use
International Journal of Human-Computer Interaction
Communications of the ACM
Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A Personalized Restaurant Recommender Agent for Mobile E-Service
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
IEEE Transactions on Knowledge and Data Engineering
Using Location for Personalized POI Recommendations in Mobile Environments
SAINT '06 Proceedings of the International Symposium on Applications on Internet
A location-aware recommender system for mobile shopping environments
Expert Systems with Applications: An International Journal
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
IEEE Intelligent Systems
Survey of semi-regular multiresolution models for interactive terrain rendering
The Visual Computer: International Journal of Computer Graphics
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Navigation techniques for small-screen devices: An evaluation on maps and web pages
International Journal of Human-Computer Studies
IEEE Computer Graphics and Applications
The State of the Art in Mobile Graphics Research
IEEE Computer Graphics and Applications
Expert Systems with Applications: An International Journal
An innovative mobile electronic tourist guide application
Personal and Ubiquitous Computing
A hybrid of sequential rules and collaborative filtering for product recommendation
Information Sciences: an International Journal
Intelligent systems in travel and tourism
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
REJA: A Georeferenced Hybrid Recommender System for Restaurants
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Music Recommendation Using Content and Context Information Mining
IEEE Intelligent Systems
A recommender system based on multi-features
ICCSA'07 Proceedings of the 2007 international conference on Computational science and Its applications - Volume Part II
Identifying and utilizing contextual data in hybrid recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Information Systems Frontiers
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A mobile tourism recommender system
ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
Electronic mobile guides: a survey
Personal and Ubiquitous Computing
Information Sciences: an International Journal
Personalized recommendation of popular blog articles for mobile applications
Information Sciences: an International Journal
A web-based pervasive recommendation system for mobile tourist guides
Personal and Ubiquitous Computing
The effect of context-aware recommendations on customer purchasing behavior and trust
Proceedings of the fifth ACM conference on Recommender systems
Recommending music for places of interest in a mobile travel guide
Proceedings of the fifth ACM conference on Recommender systems
Information Sciences: an International Journal
Collaborative filtering based on significances
Information Sciences: an International Journal
Collaborative filtering: the aim of recommender systems and the significance of user ratings
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Context relevance assessment and exploitation in mobile recommender systems
Personal and Ubiquitous Computing
A scalable architecture for 3D map navigation on mobile devices
Personal and Ubiquitous Computing
Review: Mobile recommender systems in tourism
Journal of Network and Computer Applications
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The amount of touristic and travel information existing on the Internet is overwhelming. Recommender systems are typically used to filter irrelevant information and to provide personalized and relevant services to tourists. In this context, mobile devices are particularly useful because of their ubiquitous nature that turns them into an attractive platform for assisting on-the-move tourists to choose points of interest to visit according to their physical location. However, mobile devices also present several usability limitations that should be considered in order to provide information in a direct and intuitive way. In this paper, we present a novel mobile recommender system that brings together a hybrid recommendation engine and a mobile 3D GIS architecture. This system allows tourists to benefit from innovative features such as a 3D map-based interface and real-time location-sensitive recommendations. The details related to the design and implementation of the proposed solution are also presented, along with an empirical evaluation of user experience with the mobile application.