Personalized Recommendation via Trust-Based Diffusion

Personalized Recommendation via Trust-Based Diffusion

The diffusion-based algorithm is a promising member of the family of recommendation algorithms. It makes recommendations through the diffusion process on user-object bipartite graphs. However, a user's taste is often influenced by his/her trusted friends in social networks. In this paper, we pr...

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Bibliographic Details
Main Authors: Yuanzhen Liu, Lixin Han, Zhinan Gou, Yi Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Trust-based diffusion
tripartite graphs
social networks
implicit trust relations
explicit trust relations
Online Access:https://ieeexplore.ieee.org/document/8761862/

Internet

https://ieeexplore.ieee.org/document/8761862/

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