Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
The art of navigating through hypertext
Communications of the ACM
The whole Internet (2nd ed.): user's guide & catalog
The whole Internet (2nd ed.): user's guide & catalog
Measuring usability: preference vs. performance
Communications of the ACM
Modeling a dynamic and uncertain world I: symbolic and probabilistic reasoning about change
Artificial Intelligence
Scalable Internet resource discovery: research problems and approaches
Communications of the ACM
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We present a tool, SKIPPER, which personalizes browsers of large information bases by (1) autonomously detecting and recording documents that are of apparent personal interest to the current user, and (2) by highlighting and presenting relevant browser options to the user in a hierarchically structured fashion. Thereby browser options are organized according the a relevance ranking of the respective documents, and our tool is designed to take into account that document relevance realistically changes over time.