A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion | |
Huang, Shanshan; Ma, Jun; Cheng, Peizhe; Wang, Shuaiqiang | |
刊名 | ACM transactions on intelligent systems and technology
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2015 | |
期号 | 2页码:27.1-27.22 |
关键词 | Algorithms Performance Experimentation Recommender systems collaborative filtering coclustering information fusion data sparsity |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4770615 |
专题 | 山东大学 |
作者单位 | 1.Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Peoples R China 2.Shandong Univ, Sch Comp Sci & Technol, Jinan 250101 |
推荐引用方式 GB/T 7714 | Huang, Shanshan,Ma, Jun,Cheng, Peizhe,et al. A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion[J]. ACM transactions on intelligent systems and technology,2015(2):27.1-27.22. |
APA | Huang, Shanshan,Ma, Jun,Cheng, Peizhe,&Wang, Shuaiqiang.(2015).A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion.ACM transactions on intelligent systems and technology(2),27.1-27.22. |
MLA | Huang, Shanshan,et al."A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion".ACM transactions on intelligent systems and technology .2(2015):27.1-27.22. |
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