Capturing knowledge of user preferences: ontologies in recommender systems.
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a dynamic environment. We explore the acquisition of user profiles by unobtrusive monitoring of browsing behaviour and application of supervised machine-learning techniques cou...
Main Authors: | , , |
---|---|
Format: | Journal article |
Language: | English |
Published: |
ACM
2001
|