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Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization.
Panagiotis Symeonidis
Ludovik Coba
Markus Zanker
Published in:
Intelligenza Artificiale (2019)
Keyphrases
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matrix factorization
recommender systems
collaborative filtering
factorization methods
low rank
implicit feedback
negative matrix factorization
factor analysis
cold start problem
nonnegative matrix factorization
user preferences
probabilistic matrix factorization
user profiles
variational bayesian
low rank matrix factorization
recommendation quality
cold start
stochastic gradient descent
data sparsity
data matrix
latent factor models
tensor factorization
personalized recommendation
user interaction
rating prediction
recommendation algorithms
missing data