User modelling and adaptivity in visual information retrieval systems
نویسنده
چکیده
This paper proposes suitable characteristics of an ideal Visual Information Retrieval (VIR) system. The central role of user modelling in such a system is discussed. Approaches to the automated analysis of images in image retrieval systems are considered. A preliminary sketch of the model is then provided. The model is based on Bayesian user modelling techniques and dynamic Bayesian Networks. A brief worked example of the model is provided, showing how the model might acquire knowledge about the user and exploit automatically derived image features to help satisfy a user’s specific image retrieval requirements.
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تاریخ انتشار 2001