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...
保存先:
第一著者: | |
---|---|
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
2016
|
主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/77870/1/BahramAminiValashaniPFC2016.pdf http://eprints.utm.my/id/eprint/77870/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:97600 |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|