Titlebook: E-Commerce and Web Technologies; 12th International C Christian Huemer,Thomas Setzer Conference proceedings 2011 Springer-Verlag GmbH Berli

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Argumentation with Adviceed with the generation of arguments, usually as logical proofs, for and against a given course of action. Rhetorical argumentation includes rhetoric moves such as ., . and .. Rhetorical argumentative utterances generated by an agent contribute to the strength of its relationship with the listener. T

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On Collaborative Filtering Techniques for Live TV and Radio Discovery and Recommendationradio events into friendly catalogs. But recordings are based on parameters to be set by the users, such as timings and channels, and event discovery can be not trivial. Moreover, personalized recommendations strongly depend on the information quality of discovered events..In this paper, we propose

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Rating Elicitation Strategies for Collaborative Filtering of the available item ratings. In general, the more ratings are elicited from the users, the more effective the recommendations are. However, not all the ratings are equally useful and therefore, in order to minimize the users’ rating effort, only some of them should be requested or acquired. In th

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Compass

An Exploratory Work in Using Comparisons Instead of Ratingslti-point rating scale (for example from one to five). Ratings have however several known drawbacks, such as imprecision and inconsistency. We propose a new modality to express preferences: comparing items (“I prefer x to y”). In this initial work, we conduct two user-studies to understand the possi

Bernstein-test

Understanding Recommendations by Reading the Cloudsantly influence the user-perceived quality of such a system. In this paper we present and evaluate explanation interfaces in the form of ., which are a frequently used visualization and interaction technique on the Web. We report the result of a user study in which we compare the performance of two

conifer

Recommendation by Example in Social Annotation Systemsask is considered as a function available within a social annotation system offering new ways to model both users and resources. Using three real-world datasets we motivate several conclusions. First, a personalized approach outperforms non-personalized approaches suggesting that users perceive the

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E-Commerce and Web Technologies978-3-642-23014-1Series ISSN 1865-1348 Series E-ISSN 1865-1356