Ulrike Bauernfeind

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This paper describes and discusses the application of various state-of-the-art techniques to improve the design and usability of a web application in the B2C area. It is illustrated by the ongoing project of developing an intelligent destination recommender system (DieToRecs). These techniques comprise four particular evaluation steps: 1. a concept test, 2.(More)
In view of information overflow on the web, the use of recommender systems seems to be an appropriate means by which to organize information that targets preferences. The purpose of this article is to present a novel model explaining the satisfaction with recommender websites integrating emerging influential factors such as trust, exploratory browsing, and(More)
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During the last ten years numerous research instruments emerged for evaluating the service quality of Web-based information systems. B2C recommender systems are information systems that support users in selecting information, products, or services improving their decision making process. Unfortunately, the majority of these instruments do not acknowledge(More)
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