MoviExplain: A recommender system with explanations
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Providing justification to a recommendation gives credibility to a recommender system. Some recommender systems (Amazon.com etc.) try to explain their recommendations, in an effort to regain customer acceptance and trust. But their explanations are poor, because they are based solely on rating data, ignoring the content data. Our prototype system MoviExplain is a movie recommender system that provides both accurate and justifiable recommendations.
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Friedrich, G; Zanker, M (Aaai American Association of Artificial, 2011)In recommender systems, explanations serve as an additional type of information that can help users to better understand the system's output and promote objectives such as trust, confidence in decision making, or utility. ...
Papadimitriou A; Symeonidis P; Manolopoulos Y (Kluwer Academic Publishers, 2012)Recommender systems usually provide explanations of their recommendations to better help users to choose products, activities or even friends. Up until now, the type of an explanation style was considered in accordance to ...
Nguyen T; Ricci F (CEUR-WS, 2016)In this poster we illustrate the interaction design of a mobile system that facilitates group decision making by allowing group members to be engaged in a discussion which is actively supported by recommendation functions ...