In this paper, we propose the use of Semantic Web technologies to bridge the gap between authoring systems and authors. The core part of our solution is the ontology-based framewo...
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Abstract. We present a CBR approach to musical playlist recommendation. A good playlist is not merely a bunch of songs, but a selected collection of songs, arranged in a meaningful...
We describe a user study evaluating two critiquing-based recommender agents based on three criteria: decision accuracy, decision effort, and user confidence. Results show that use...
Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused ...
Zekeriya Erkin, M. Beye, T. Veugen, Reginald L. La...