Advances and Perspectives on Knowledge Transfer Based Cross-Domain Recom-mendation

Advances and Perspectives on Knowledge Transfer Based Cross-Domain Recom-mendation

Data sparseness and cold start problems caused by unbalanced data distribution restrict the further development of personalized recommendation systems. With the rise of transfer learning technology, cross-domain recommendation based on transfer learning provides possibility to solve such problems. T...

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Bibliographic Details
Main Author: REN Hao, LIU Baisong, SUN Jinyang
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-11-01
Series:Jisuanji kexue yu tansuo
Subjects:
data sparsity
transfer learning
knowledge transfer
cross-domain recommendation
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2435.shtml

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