IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use
International Journal of Human-Computer Interaction
Efficient web browsing on handheld devices using page and form summarization
ACM Transactions on Information Systems (TOIS)
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Functioning in the Wireless Classroom
WMTE '04 Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
Communications of the ACM - The Blogosphere
IEEE Transactions on Knowledge and Data Engineering
Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System
IEEE Intelligent Systems
The hitchhiker's guide to successful wireless sensor network deployments
Proceedings of the 6th ACM conference on Embedded network sensor systems
An innovative mobile electronic tourist guide application
Personal and Ubiquitous Computing
Review: Personalizing recommendations for tourists
Telematics and Informatics
Content-based recommendation systems
The adaptive web
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
Recommender Systems Handbook
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Can Bluetooth succeed as a large-scale ad hoc networking technology?
IEEE Journal on Selected Areas in Communications
RESYGEN: A Recommendation System Generator using domain-based heuristics
Expert Systems with Applications: An International Journal
Review: Mobile recommender systems in tourism
Journal of Network and Computer Applications
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Recommender systems are software frameworks that employ a specific type of information filtering technique, aiming at recommending information items or social elements that are likely to be of interest to the user. Herein, we present the evaluation results of the recently prototyped tourism recommender system (TRS). We followed a formal evaluation process to validate the usability of two versions of the TRS by users in realistic environments; the first is a typical web recommender system (wTRS), while the second is a system that enables tourist content recommendations addressed to mobile users (mTRS). The usability evaluation tests have been undertaken at the municipality of Mytilene, Greece.