In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
Intelligent desktop assistants could provide more help for users if they could learn models of the users’ workflows. However, discovering desktop workflows is difficult becau...
Jianqiang Shen, Erin Fitzhenry, Thomas G. Dietteri...
In this paper we present a method of parsing unstructured textual records briefly describing a person and their direct relatives, which we use in the construction of a browsing t...
Intelligent Tutoring Systems (ITSs) have been shown to have dramatic impact on student learning [9]. However, these gains have been mostly in topics in which the interface has bee...
Liz Blankenship, Stephen B. Gilbert, Stephen Bless...
Current methods of playlist creation and maintenance do not support user needs, especially in a mobile context. Furthermore, they do not scale: studies show that users with large ...
Meghan Allen, Jennifer Gluck, Karon E. MacLean, Er...