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A Personalization-Oriented Academic Literature Recommendation Method

As the number of digital academic items increases dramatically, it is more and more difficult for a student or researcher to find the expected references in a large academic literature database. Although collaborative filtering and content-based recommendation approaches perform well in some applica...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Zhongya Wang, Ying Liu, Jiajun Yang, Zheng Zheng, Kaichao Wu
Format: Artigo
Sprache:Inglês
Veröffentlicht: Ubiquity Press 2015-05-01
Schriftenreihe:Data Science Journal
Schlagworte:
Online-Zugang:http://datascience.codata.org/articles/566
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