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麻烦大家帮我查一下这边文章被SCI检索了没有
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要一个截图就行了，谢谢大家 论文题目：A Stable-Matching-Based User Linking Method with User Preference Order 期刊：MATHEMATICAL PROBLEMS IN ENGINEERING |
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lzg020716
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糖葫芦喵喵: 金币+20, ★★★★★最佳答案 2017-05-13 14:28:06
sunshan4379: LS-EPI+1, 感谢应助！ 2017-05-14 15:09:47
感谢参与，应助指数 +1
糖葫芦喵喵: 金币+20, ★★★★★最佳答案 2017-05-13 14:28:06
sunshan4379: LS-EPI+1, 感谢应助！ 2017-05-14 15:09:47
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A Stable-Matching-Based User Linking Method with User Preference Order 作者:Wang, XZ (Wang, Xuzhong)[ 1 ] ; Liu, Y (Liu, Yan)[ 1 ] ; Nan, Y (Nan, Yu)[ 1 ] MATHEMATICAL PROBLEMS IN ENGINEERING 文献号: 3247627 DOI: 10.1155/2017/3247627 出版年: 2017 查看期刊信息 摘要 With the development of social networks, more and more users choose to use multiple accounts from different networks to meet their needs. Linking a particular user's multiple accounts not only can improve user's experience of the net-services such as recommender system, but also plays a significant role in network security. However, multiple accounts of the same user are often not directly linked to each other, and further, the privacy policy provided by the service provider makes it harder to find accounts for a particular user. In this paper, we propose a stable-matching-based method with user preference order for the problem of low accuracy of user linking in cross-media sparse data. Different from the traditional way which just calculates the similarity of accounts, we take full account of the mutual influence among multiple accounts by regarding different networks as bilateral (multilateral) market and user linking as a stable matching problem in such a market. Based on the combination of Game-Theoretic Machine Learning and Pairwise, a novel user linking method has been proposed. The experiment shows that our method has a 21.6% improvement in accuracy compared with the traditional linking method and a further increase of about 7.8% after adding the prior knowledge. 作者信息 通讯作者地址: Liu, Y (通讯作者) China State Key Lab Math Engn & Adv Comp, Zhengzhou 450002, Peoples R China. 地址: [ 1 ] China State Key Lab Math Engn & Adv Comp, Zhengzhou 450002, Peoples R China 电子邮件地址:ms_liuyan@aliyun.com 基金资助致谢 基金资助机构 授权号 National Natural Science Foundation of China 61309007 U1636219 National Key Research and Development Program of China 2016YFB0801303 查看基金资助信息 出版商 HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, WIT 5HE, ENGLAND 类别 / 分类 研究方向:Engineering; Mathematics Web of Science 类别:Engineering, Multidisciplinary; Mathematics, Interdisciplinary Applications 文献信息 文献类型:Article 语种:English 入藏号: WOS:000398476600001 ISSN: 1024-123X eISSN: 1563-5147 期刊信息 目录： Current Contents Connect® 其他信息 IDS 号: ER0KK Web of Science 核心合集中的 "引用的参考文献": 27 Web of Science 核心合集中的 "被引频次": 0 |
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lzg020716
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4楼2017-05-13 20:17:18
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