Ontological User Profiling in Recommender Systems
We explore a novel ontological approach to user profiling within recommender systems, working on the problem of recommending on-line academic research papers. Our two experimental systems, Quickstep and Foxtrot, create user profiles from unobtrusively monitored behaviour and relevance feedback, repr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2004-01.
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| Subjects: | |
| Online Access: | Get fulltext |