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| home | > | research | |||||
| Overview | |
| 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. |
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| Secure Personalization | |
| Can we make recommender systems secure against attackers injecting bias
profiles? Project wiki |
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| ARCH | |
| User modeling for information access using ontologies. Project wiki. | |
| FindMe systems | |
| CBR and user modeling applied to the problem of recommending products in e-commerce catalogs. | |
| DONNA/Salticus | |
| Strategic knowledge applied to the problem of finding, storing, organizing and presenting information for competitive business intelligence. | |
| FAQ Finder | |
| Natural language question answering from frequently-asked question files, combining statistical and knowledge-based techniques. | |
| Intelligent Tutoring Systems | |
| My dissertation work was on intelligent tutoring systems, concentrating on the problem of storing, indexing and retrieving tutorial stories. | |