Collaborative tagging systems are now deployed extensively to help users share and organize resources. Tag prediction and recommendation systems generally model user behavior as r...
Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. D...
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
The objective of most users for consulting any information database, information warehouse or the internet is to resolve one problem or the other. Available online or offline anno...
We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
Children with autism often experience substantial challenges in understanding, structuring, and predicting the activities in their daily lives. The use of symbols to represent a s...
Michael T. Yeganyan, Meg Cramer, Lou Anne Boyd, Gi...