userheterogeneityandindividualizedrecommender
文献类型：期刊论文
| 作者 | Wang Qingxian2; Zhang Junjie1; Shi Xiaoyu1 ; Shang Mingsheng1
|
| 刊名 | chinesephysicsletters
 |
| 出版日期 | 2017 |
| 卷号 | 34期号:6 |
| ISSN号 | 0256-307X |
| 英文摘要 | Previous works on personalized recommendation mostly emphasize modeling peoples' diversity in potential favorites into a uniform recommender. However, these recommenders always ignore the heterogeneity of users at an individual level. In this study, we propose an individualized recommender that can satisfy every user with a customized parameter. Experimental results on four benchmark datasets demonstrate that the individualized recommender can significantly improve the accuracy of recommendation. The work highlights the importance of the user heterogeneity in recommender design. |
| 资助项目 | [National Natural Science Foundation of China] ; [Youth Innovation Promotion Association of Chinese Academy of Sciences] |
| 语种 | 英语 |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/9007]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 作者单位 | 1.中国科学院重庆绿色智能技术研究院 2.电子科技大学 |
| 推荐引用方式 GB/T 7714 | Wang Qingxian,Zhang Junjie,Shi Xiaoyu,et al. userheterogeneityandindividualizedrecommender[J]. chinesephysicsletters,2017,34(6). |
| APA | Wang Qingxian,Zhang Junjie,Shi Xiaoyu,&Shang Mingsheng.(2017).userheterogeneityandindividualizedrecommender.chinesephysicsletters,34(6). |
| MLA | Wang Qingxian,et al."userheterogeneityandindividualizedrecommender".chinesephysicsletters 34.6(2017). |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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