A novel interest drift sensitivity academic paper recommender based on implicit feedback

Academic recommendation systems have been rapidly developed in recent years, helping researchers to find favorite paper. However, traditional methods applied to paper recommendation face more challenges. First, users can only read a small number of papers, resulting in a very sparse user-paper matri...

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Bibliographic Details
Main Authors: Weiming Huang, Baisong Liu, Zhaoliang Wang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Egyptian Informatics Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866524001014
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