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From a disciplinary perspective, it looks like my research is
all over the map, but really I'm interested in just one thing: human
memory and the ways in which computers can augment, support and emulate it.
As the quantity of digitally-available information mushrooms, it would seem
that we can learn something from the way people store and recall a lifetime of
experience.
CBR is the branch of AI that emphasizes
reasoning from past experience. Much of my research draws from this area.
Can we make recommender systems secure against attackers
injecting bias profiles? The answer is "not totally", but there is some
interesting progress that can be made.
Project
wiki
User modeling for information access using ontologies. Project wiki.
CBR and user modeling applied to the problem of recommending products in e-commerce catalogs.
Natural language question answering from frequently-asked question files, combining statistical and knowledge-based techniques.
Strategic knowledge applied to the problem of finding, storing, organizing and presenting information for competitive business intelligence.
My dissertation work was on intelligent tutoring systems, concentrating on the problem of storing, indexing and retrieving tutorial stories.