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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Ubiquity Press
2015-05-01
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Series: | Data Science Journal |
Subjects: | |
Online Access: | http://datascience.codata.org/articles/566 |