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Effect of Item Representation and Item Comparison Models on Metrics for Surprise in Recommender Systems.
Andre Paulino de Lima
Sarajane Marques Peres
Published in:
ICEIS (1) (2019)
Keyphrases
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recommender systems
latent factor models
cold start problem
user preferences
collaborative filtering
evaluation metrics
user ratings
parameter estimation
model construction
prior knowledge
model selection
qualitative models
personalized recommendation
probability models
item based collaborative filtering