Cross-domain recommendation model of deep feature extraction and attention mechanism

To alleviate the problem of sparse target domain data and cold start in cross domain recommendation, Cross-domain recommendation model of deep feature extraction and attention mechanism (CRDFEAM) model is proposed by combining the techniques including the enhanced embedding, embedding transfer, atte...

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Bibliografske podrobnosti

Principais autores:	CAO Fengping, ZHANG Ruiting
Format:	Artigo
Jezik:	Inglês
Izdano:	Science Press (China Science Publishing & Media Ltd.) 2023-05-01
Serija:	Shenzhen Daxue xuebao. Ligong ban
Teme:	artificial intelligence transfer learning cross-domain recommendation attention mechanism feature embedding potential factors matrix factorization
Online dostop:	https://journal.szu.edu.cn/en/#/digest?ArticleID=2513
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