A learning agent for wireless news access

ABSTRACT

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.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
  H.5 INFORMATION INTERFACES AND PRESENTATION (I.7)

General Terms:
Experimentation, Human Factors, Management

Keywords:
intelligent information access, machine learning, news, user modeling, wireless