Receiving recommendations and providing feedback : the user-experience of a recommender system

This paper systematically evaluates the user experience of a recommender system. Using both behavioral data and subjective measures of user experience, we demonstrate that choice satisfaction and system effectiveness increase when a system provides personalized recommendations (compared to the same system that provides random recommendations). We furthermore demonstrate that despite privacy issues, this higher choice satisfaction and system effectiveness increases users’ intention to provide feedback about their preference. Due to an intention-behavior gap, this may however not necessarily influence the users’ actual feedback behavior