A substantial progress in development of new and efficient tensor factorization techniques
has led to an extensive research of their applicability in recommender systems field. Tensor …

In media retrieval system for intelligent transportation, media data variety and heterogeneity
have been one of the most critical features. Documents with different formats may express …

Learning from a collective behavior of crowds to predict individual user preferences is one of
the major tasks in recommender systems. Among the key challenges that make this task …