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Emotions and fashion recommendations: evaluating the predictive power of affective information for the prediction of fashion product preferences in cold-start scenarios.
Alexander Piazza
Pavlina Kröckel
Freimut Bodendorf
Published in:
WI (2017)
Keyphrases
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predictive power
prediction accuracy
recommender systems
logistic regression
cold start
information extraction
user preferences
machine learning
feature selection
matrix factorization
information overload
cold start problem