We consider recommender systems that filter information and only show the most preferred items. Good recommendations can be provided only when an accurate model of the user's...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
The judgment that whether an email is spam or non-spam may vary from person to person. Different individuals can have totally different responses to the same email based on their p...
Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak
This paper describes a visualisation tool, VlUM, designed to support users in scrutinising models of their interests, preferences and knowledge. We also describe MECUREO, a tool f...
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...