Fab: content-based, collaborative recommendation
Communications of the ACM
Collecting user access patterns for building user profiles and collaborative filtering
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Bridging physical and virtual worlds with electronic tags
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Communications of the ACM
A music recommendation system based on music data grouping and user interests
Proceedings of the tenth international conference on Information and knowledge management
Flytrap: intelligent group music recommendation
Proceedings of the 7th international conference on Intelligent user interfaces
Efficient Object Identification with Passive RFID Tags
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
An Adaptive User Interface Based On Personalized Learning
IEEE Intelligent Systems
Smart Identification Frameworks for Ubiquitous Computing Applications
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Gate reminder: a design case of a smart reminder
DIS '04 Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques
International Journal of Internet Protocol Technology
A novel model for capturing and analyzing customers' preferences for ceramic tiles
Proceedings of the 15th WSEAS international conference on Computers
An investigation of contents and use of the home wardrobe
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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In this paper, we explore the possibility of generating user profiles of fashion preferences from information captured by RFID technology. Proposing a design of a smart wardrobe, we investigate the appropriateness of the technology as an identification tool of real objects and to aid in detecting and tracking real objects movements. We then present a model of user fashion profile, which is generated through queries and data mining techniques. In order to illustrate the usefulness and real world feasibility of our proposed model, we build a working prototype as proof of concept. For evaluation purposes, we have created a random generator, which is able to generate random clothing items and dressing events that serve as input to our model for creating user profiles. Our experimental results clearly indicate that RFID technology is suitable to aid in creating smart systems.