Biclustering Based on FCA and Partition Pattern Structures for Recommendation Systems
Résumé
This paper focuses on item recommendation for visitors in a museum within the framework of European Project CrossCult about cultural heritage. We present a theoretical research work about recommendation using bicluster-ing. Our approach is based on biclustering using FCA and partition pattern structures. We investigate the possibility of incorporating the order information using this approach. Then, given the dataset of visitor trajectories, the result of our biclustering can be used to build a collaborative recommendation system.
Domaines
Informatique [cs]Origine | Fichiers produits par l'(les) auteur(s) |
---|
Loading...