The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Conversational recommender systems (CRSs) assist online users in their information-seeking and decision making tasks by supporting an interactive process. Although these processes...
Abstract. Many researchers have focused their efforts on developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves per...
Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning tasks such as recommending resources (e.g. papers, books...
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimb...
Defining requirements without satisfying success critical stakeholders often leads to expensive project failures. Enabling interdisciplinary stakeholders to rapidly and effectivel...