A learning agent for wireless news access

We describe a user interface for wireless information devices, specifically designed to facilitate learning about users’ individual interests in daily news stories. User feedback is collected unobtrusively to form the basis for a content-based machine learning algorithm. As a result, the described system can adapt to users’ individual interests, reduce the amount of information that needs to be transmitted, and help users access relevant information with minimal effort. Keywords Wireless, intelligent information access, news, user modeling, machine learning.

• Type: Conference
• Year: 2000
• Where: IUI
• Authors: Daniel Billsus, Michael J. Pazzani, James Chen
• Keywords: Individual Interests, IUI 2000, Machine Learning, Machine Learning Algorithm, Software Engineering