Active Collaborative Filtering using Bayesian Networks

Collaborative filtering (CF) is a class of methods to produce personalized recommendations that have obtained wides-
pread adoption in electronic commerce websites. While the most popular methods are based on matrix factorization,
recently Langseth and Nielsen (2012) have provided a probabilistic method for collaborative filtering, offering the
advantage of measuring the uncertainty with respect to the acquired model.

Lieu: 
LIP6
Thématiques: 
Encadrant: 
Paolo Viappiani
Co-Encadrant: 
Pierre-Henri Wuillemin
Référent Universitaire: 
n/a
Fichier Descriptif: 
Attribué: 
No
Année: 
2 019
Deprecated: 
No

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