MoviExplain: A recommender system with explanations
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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A Taxonomy for Generating Explanations in Recommender Systems
(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. ... -
How should I explain? A comparison of different explanation types for recommender systems
(2014)Recommender systems help users locate possible items of interest more quickly by filtering and ranking them in a personalized way. Some of these systems provide the end user not only with such a personalized item list but ... -
A generalized taxonomy of explanations styles for traditional and social recommender systems
(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 ...
