Personalized recommendation model with multi-level latent features
Personalized recommendation has become one of the most effective means to solve information overload, and it is also a hot technology in the research field of massive data mining.However, traditional recommendation algorithms often only use the user’s rating information on the item, and lack a compr...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Beijing Xintong Media Co., Ltd
2022-02-01
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| Serie: | Dianxin kexue |
| Soggetti: | |
| Accesso online: | http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2022035 |
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