Litcius/Paper detail

New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests

Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera‐Viedma

2020Information Sciences103 citationsDOI

Topics & Concepts

Recommender systemComputer scienceCold start (automotive)Focus (optics)Social mediaBoomOrder (exchange)Data scienceInformation retrievalArtificial intelligenceWorld Wide WebFinanceEconomicsOpticsAerospace engineeringEnvironmental engineeringPhysicsEngineeringRecommender Systems and TechniquesAdvanced Bandit Algorithms ResearchData Stream Mining Techniques
New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests | Litcius