Mixed Similarity Diffusion for Recommendation on Bipartite Networks

Mixed Similarity Diffusion for Recommendation on Bipartite Networks

In recommender systems, collaborative filtering technology is an important method to evaluate user preference through exploiting user feedback data, and has been widely used in industrial areas. Diffusion-based recommendation algorithms inspired by diffusion phenomenon in physical dynamics are a cru...

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Bibliographic Details
Main Authors: Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Recommender systems
diffusion processes
bipartite networks
collaborative filtering
Online Access:https://ieeexplore.ieee.org/document/8039492/

Internet

https://ieeexplore.ieee.org/document/8039492/

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