Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Modeling and Implementing an Adaptive Human-Computer Interface Using Passive Biosensors
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 5 - Volume 5
UM'03 Proceedings of the 9th international conference on User modeling
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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Information filtering can be used to reduce cognitive load. However the expertise level of the user will greatly affect the effectiveness of information filtering. Any attempt to use neurophysiological measures of cognitive load for information filtering should take these effects into account in the design of the information filtering system. Combining information filtering, neurophysiological measurements of cognitive load and user modeling of expertise can improve performance. An integrated architecture for combining these techniques is described along with its application to routing information within a crisis management team.