Research on Affective Recommendation System

The current conditions and the progress of affective recommendation system are surveyed. Firstly, the research background is summarized and analyzed including domestic and international organizations, distinguishing features, and related resources. Then, within the unified framework of affective recommendation system, theories and technologies related to this area are expounded in details. Categorized algorithms are summarized, classified and compared. Finally, some most difficulties and possible research directions in the future are proposed, coupling with the forecasted development.