A recommender system based on tag and time information for social tagging systems
文献类型：期刊论文
| 作者 | Zheng, Nan ; Li, Qiudan
|
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2011-04-01 |
| 卷号 | 38期号:4页码:4575-4587 |
| 关键词 | Social tagging Recommender system Collaborative filtering Interest drift |
| 英文摘要 | Recently, social tagging has become increasingly prevalent on the Internet, which provides an effective way for users to organize, manage, share and search for various kinds of resources. These tagging systems offer lots of useful information, such as tag, an expression of user's preference towards a certain resource; time, a denotation of user's interests drift. As information explosion, it is necessary to recommend resources that a user might like. Since collaborative filtering (CF) is aimed to provide personalized services, how to integrate tag and time information in CF to provide better personalized recommendations for social tagging systems becomes a challenging task. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science |
| 研究领域[WOS] | Computer Science ; Engineering ; Operations Research & Management Science |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000286904600178 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3542]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng, Nan,Li, Qiudan. A recommender system based on tag and time information for social tagging systems[J]. EXPERT SYSTEMS WITH APPLICATIONS,2011,38(4):4575-4587. |
| APA | Zheng, Nan,&Li, Qiudan.(2011).A recommender system based on tag and time information for social tagging systems.EXPERT SYSTEMS WITH APPLICATIONS,38(4),4575-4587. |
| MLA | Zheng, Nan,et al."A recommender system based on tag and time information for social tagging systems".EXPERT SYSTEMS WITH APPLICATIONS 38.4(2011):4575-4587. |
入库方式： OAI收割
来源：自动化研究所
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