An ontology-based recommender system using scholar's background knowledge
Scholar’s recommender systems recommend scientific articles based on the similarity of articles to scholars’ profiles, which are a collection of keywords that scholars are interested in. Recent profiling approaches extract keywords from the scholars’ information such as publications, searching keywo...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2016
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/77870/1/BahramAminiValashaniPFC2016.pdf |
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