Information mosaics: patterns of action that structure
Exploring the contexts of information behaviour
Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Implicit feedback for inferring user preference: a bibliography
ACM SIGIR Forum
Preface to Special Issue on User Modeling for Web Information Retrieval
User Modeling and User-Adapted Interaction
Display time as implicit feedback: understanding task effects
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Addressing the challenge of visual information access from digital image and video libraries
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Exploring the structure of media stream interactions for multimedia browsing
AMR'05 Proceedings of the Third international conference on Adaptive Multimedia Retrieval: user, context, and feedback
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Adaptive systems have not been adopted because people prefer stability and predictability for high-level interactions and because such systems have not been robust enough to handle the variety of goals and tasks that people bring to them. Adaptive features at fine grains of activity have been successfully adopted and this paper considers the possibilities of using a variety of contextual features for adaptive multimedia retrieval. It argues that people must gain trust in such systems and be provided with control over the adaptive features within a more general human-computer information retrieval framework.