User similarity-based collaborative filtering recommendation algorithm
Collaborative filtering recommendation algorithms widely used in e-commerce, recommend interesting content for users from massive data resources by studying their preferences and interests. The focus of similarity and evaluation have been changed when applied to social networks, however, they cause...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Department of Journal on Communications
2014-02-01
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| Serie: | Tongxin xuebao |
| Soggetti: | |
| Accesso online: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.02.003/ |
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