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环节：在社交网络中的搜索和路由—第1部分
iLink: Search and Routing in Social Networks - Part 1 |
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| 课程网址: |
http://videolectures.net/kdd07_davitz_ilink/
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| 主讲教师: |
Jeffrey Davitz
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| 开课单位: |
SRI人工智能中心
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| 开课时间: |
信息不详。欢迎您在右侧留言补充。
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| 课程语种: |
英语
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| 中文简介: |
Web2.0的发展和基本的理论突破导致了对社交网络的兴趣雪崩。本文主要研究社会网络如何通过对等生产式协作完成任务的建模问题。我们提出了一个基本的社交网络的通用交互模型，然后提出了一个特定的社交搜索和消息路由模型。这里的一个关键贡献是开发一个通用的学习框架，使这种在线对等生产系统能够大规模工作。本文利用iLink模型开发了一个社交网络常见问题生成系统（faqtory），并介绍了该系统在大规模学习驱动工作流应用（calo）环境下的应用经验。我们还讨论了将iLink技术应用于军事知识共享门户和其他消息路由系统的方法。最后，本文给出了一个社会搜索理论模型ilink与sqm的关系，它是马尔可夫决策过程的推广，是一个流行的pagerank模型。
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| 课程简介: |
The growth of Web 2.0 and fundamental theoretical breakthroughs have led to an avalanche of interest in social networks. This paper focuses on the problem of modeling how social networks accomplish tasks through peer production style collaboration. We propose a general interaction model for the underlying social networks and then a specific model (iLink) for social search and message routing. A key contribution here is the development of a general learning framework for making such online peer production systems work at scale. The iLink model has been used to develop a system for FAQ generation in a social network (FAQtory), and experience with its application in the context of a full-scale learning-driven workflow application (CALO) is reported. We also discuss methods of adapting iLink technology for use in military knowledge sharing portals and other message routing systems. Finally, the paper shows the connection of iLink to SQM, a theoretical model for social search that is a generalization of Markov Decision Processes and the popular Pagerank model.
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| 关 键 词: |
网络互动模式; 社会搜索; 消息路由
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| 课程来源: |
视频讲座网
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| 最后编审: |
2019-11-14：cwx
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| 阅读次数: |
51
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