This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions ...
Push-based data delivery requires knowledge of user interests for making scheduling, bandwidthallocation, and routing decisions. Such information is maintained as user profiles. W...
Over the last five years, a range of projects have focused on progressively more elaborated techniques for adaptive news delivery. However, the adaptation process in these systems...
Jae-wook Ahn, Peter Brusilovsky, Jonathan Grady, D...
Abstract. In recent years, personalized news recommendation has received increasing attention in IR community. The core problem of personalized recommendation is to model and track...