Artificial Intelligence Scientific Documentation Dataset for Recommender Systems

Artificial Intelligence Scientific Documentation Dataset for Recommender Systems

The existing scientific documentation-based recommender systems focus on exploiting the citations and references information included in each research paper and also the lists of co-authors. In this way, it can be addressed the recommendation of related papers and even related authors. The approach...

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Bibliographic Details
Main Authors: Fernando Ortega, Jesus Bobadilla, Abraham Gutierrez, Remigio Hurtado, Xin Li
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Dataset
scientific documentation
recommender systems
machine learning
data mining
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/8449912/

Internet

https://ieeexplore.ieee.org/document/8449912/

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