Exploiting scholar's background knowledge to improve recommender system for digital libraries
Recommender systems for digital libraries have received increasing attention since they assist scholars to find the most appropriate articles for research purposes. Many research studies have recently conducted to model the user interests in order to suggest scientific articles based on the scholar...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/46965/ http://dx.doi.org/10.4156/jdcta.vol6.issue22.12 |
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| Institution: | Universiti Teknologi Malaysia |