A Rapid Scalable Embedding and Mapping Model for Recommendation

A Rapid Scalable Embedding and Mapping Model for Recommendation

The recommendation systems based on deep neural networks show high accuracy and precision in advertising prediction and rating prediction tasks, but the performance declines when they encounter sparsity problems. Furthermore, the low scalability framework makes them expand new users or items ineffic...

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Bibliographic Details
Main Authors: Suiyu Zhang, Cheng Yang, Wei Luo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Recommendation system
neural networks
feature representation
sparsity
scalability
Online Access:https://ieeexplore.ieee.org/document/9110846/

Internet

https://ieeexplore.ieee.org/document/9110846/

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