Titlebook: Recommender Systems and the Social Web; Leveraging Tagging D Fatih Gedikli Book 2013 Springer Fachmedien Wiesbaden 2013

作嘔

N斯巴達(dá)人

extrovert

Evaluation of explanation interfaces in the form of tag clouds,antly 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 ., which are a frequently used visualization and interaction technique on the Web [Lohmann et al., 2009]. We report the result of

antedate

An analysis of the effects of using different explanation styles, Good explanations not only have to be easily understandable by the end user but should also help the user to make good decisions [Bilgic and Mooney, 2005; Tintarev and Masthoff, 2012]. This chapter addresses the question of how explanations can be communicated to the user in the best possible way.

VAN

Organization

Improving recommendation accuracy based on item-specific tag preferences,.0 applications, but also attach a preference (.) to the tag itself, expressing, for example, whether or not they liked a certain actor in a given movie. In this chapter, we show how this additional preference data can be exploited by a recommender system to make more accurate predictions.

廢墟

An analysis of the effects of using different explanation styles,2005; Tintarev and Masthoff, 2012]. This chapter addresses the question of how explanations can be communicated to the user in the best possible way. To that purpose, we analyze ten different explanation interfaces with respect to six evaluation factors in a user study.

Employee

遷移

explicit