Multi-mode deep auto-encoder recommendation model for fusion of text information
A new recommendation model is proposed to solve the problems of data sparsity and deep semantic information learning when using score information as auxiliary recommendation. Feature learning of scoring information is achieved through depth auto-encoder to encode and decode implicit feedback scoring...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Office of Journal of XPU
2021-10-01
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| Serie: | Xi'an Gongcheng Daxue xuebao |
| Soggetti: | |
| Accesso online: | http://journal.xpu.edu.cn/en/#/digest?ArticleID=1096 |
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