Experiments on user experiences with recommender interfaces
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With the number of lecture recordings increasing constantly, technologies are needed to help the user find, access, and navigate through videos. This paper proposes a Sphinx-4-based [1] speech-to-text solution within the REPLAY framework to produce rich me ...
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We describe a model to calculate saliency of objects due to their motions. In a decision-theoretic fashion, perceptually significant objects inside a scene are detected. The work is based on psychological studies and findings on motion perception. By consi ...
This research was motivated by our interest in understanding the criteria for measuring the success of a recommender system from users’ point view. Even though existing work has suggested a wide range of criteria, the consistency and validity of the combin ...
Recommender systems have become important, as users are faced with an ever-increasing amount of information available on internet. Much of the research work on the topic has been focused on recommendation techniques, aiming at improving the accuracy of rec ...
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