Many of the first successful applications of statistical learning to anti-spam filtering were personalized classifiers that were trained on an individual user’s spam and ham ...
In this paper we detail a preliminary model for reasoning about annotating learning objects and intelligently showing annotations to users who will benefit from them. Student inter...
This paper describes the evaluation of a Scrutable User Modelling Infrastructure. SUMI is intended to form a service to allow users to share their user models from social e-network...
Demetris Kyriacou, Hugh C. Davis, Thanassis Tiropa...
User feedback has proven very successful to query large multimedia databases. Due to the nature of the data representation and the mismatch between mathematical models and human p...
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...