Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
This paper describes a technique for making personalized recommendations from any type of database to a user based on similarities between the interest pro le of that user and tho...
One of the main problems faced by university students is deciding the right learning path based on available information such as courses, schedules and professors. In this context,...
Eliminating previously recommended products in critiquing limits the choices available to users when they attempt to navigate back to products they critiqued earlier in the dialog...
In the context of intelligent disclosure of case law, we report on our findings with respect to the presentation of relevant court decisions back to the laymen users. For this pres...
Gwen R. Wildeboer, Michel C. A. Klein, Elisabeth M...