Flat and hierarchical user profile clustering in an e-commerce recommender system

Recommender systems are more and more used in different domains of computer science. The collaborative filtering remains a highly prized recommendation technique used by the e-services on the internet. This technique is mainly based on deducing a part of the user interests from the preferences of other users with similar profiles. Among the different approaches, the clustering technique is used to implement collaborative filtering. We propose in...