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Multi-stack ensemble for job recommendation.
Tommaso Carpi
Marco Edemanti
Ervin Kamberoski
Elena Sacchi
Paolo Cremonesi
Roberto Pagano
Massimo Quadrana
Published in:
RecSys Challenge (2016)
Keyphrases
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collaborative filtering
recommender systems
ensemble learning
random forests
recommendation systems
feature selection
ensemble methods
training data
artificial neural networks
special case
user preferences
random forest
job satisfaction
product recommendation
job scheduling