Personalized Scientific Paper Recommendation Based on Heterogeneous Graph Representation

Personalized Scientific Paper Recommendation Based on Heterogeneous Graph Representation

The accelerating rate of scientific publications makes it extremely difficult for researchers to find out the relevant papers and related works. Recommender systems that aim at solving the information overload problem have attracted lots of attention. However, existing paper recommendation works gen...

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Bibliographic Details
Main Authors: Xiao Ma, Ranran Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Recommender systems
paper recommendation
heterogeneous information networks
graph representation
meta-paths
Online Access:https://ieeexplore.ieee.org/document/8737667/

Internet

https://ieeexplore.ieee.org/document/8737667/

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