Ulrike Bauernfeind

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The present paper outlines the experimental evaluation of travel recommendation systems. First, theoretical concepts concentrating on the influencing factors for human-computer interaction, system usage and satisfaction are reviewed. An introduction of various methods dealing with usability evaluation is given and an overview of different " standard "(More)
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)
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)
The present paper will outline the creation and evaluation of an intelligent tourist recommendation system named DieToRecs. Recommender systems became a significant tool in the field of tourism; they offer users a convenient opportunity to find a travel bundle or a single travel item such as accommodation. Existing tourist recommendation systems have some(More)
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