A recommender system suggests items to a user for a given query by personalizing the recommendations based on the user interests. User personalization is usually done by asking us...
Deepak Khemani, Mohamed A. K. Sadiq, Rakesh Bangan...
In this paper, we examine emerging frontiers in the evolution of content-based retrieval systems that rely on an intelligent infrastructure. Here, we refer to intelligence as the ...
Abstract: This paper is focused on user modeling and adaptation in distributed ELearning systems. We describe here CUMULATE, a generic student modeling server developed for a distr...
Peter Brusilovsky, Sergey A. Sosnovsky, Olena Shch...
This paper describes the evaluation of ERST, an adaptive system which is designed to improve its users' external representation (ER) selection accuracy on a range of database ...
Indexing file systems is a powerful means of helping users locate documents, software, and other types of data among large repositories. In environments that contain many differen...