Evaluation of explanation interfaces in the form of tag clouds



Current research has shown the important role of explanation facilities in recommender systems based on the observation that explanations can significantly influence the user-perceived quality of such a system [Tintarev and Masthoff, 2012]. In this chapter, we present and evaluate explanation interfaces in the form of tag clouds, which are a frequently used visualization and interaction technique on the Web [Lohmann et al., 2009]. We report the result of a user study in which we compare the performance of two new explanation methods based on personalized and non-personalized tag clouds with a previous explanation approach. Overall, the results show that explanations based on tag clouds are not only well-accepted by the users but can also help to improve the efficiency and effectiveness of the explanation process.


Recommender System User Study User Satisfaction Font Size Explanation Style 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Fachmedien Wiesbaden 2013

Authors and Affiliations

  1. 1.Fakultät für InformatikTU DortmundDortmundGermany

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