The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System

Ben Moussa, Maher and Pasch, Marco and Hiemstra, Djoerd and Vet van der, Paul and Huibers, Theo (2007) The Potential of User Feedback Through the Iterative Refining of Queries in an Image Retrieval System. In: 4th International Workshop on Adaptive Multimedia Retrieval: User, Context and Feedback, AMR 2006, 27-28 July 2006, Geneva, Switzerland.

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Abstract:	Inaccurate or ambiguous expressions in queries lead to poor results in information retrieval. We assume that iterative user feedback can improve the quality of queries. To this end we developed a system for image retrieval that utilizes user feedback to refine the user’s search query. This is done by a graphical user interface that returns categories of images and requires the user to choose between them in order to improve the initial query in terms of accuracy and unambiguousness. A user test showed that, although there was no improvement in search time or required search restarts, iterative user feedback can indeed improve the performance of an image retrieval system in terms of user satisfaction.
Item Type:	Conference or Workshop Item
Copyright:	© 2007 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Databases (DB) Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/61836
Official URL:	http://dx.doi.org/10.1007/978-3-540-71545-0_20
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