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...

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Bibliographic Details
Main Authors: Zhongya Wang, Ying Liu, Jiajun Yang, Zheng Zheng, Kaichao Wu
Format: Article
Language:English
Published: Ubiquity Press 2015-05-01
Series:Data Science Journal
Subjects:
Online Access:http://datascience.codata.org/articles/566