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基于跨民俗学分析的用户兴趣语义建模

Semantic Modelling of User Interests Based on Cross-Folksonomy Analysis
课程网址: http://videolectures.net/iswc08_szomszor_smui/  
主讲教师: Martin Szomszor
开课单位: 南安普顿大学
开课时间: 2008-11-24
课程语种: 英语
中文简介:
Web使用量的持续增长,特别是对大众分类法的参与,揭示了一种趋势,即一种更加动态和互动的网络,个人可以组织和共享资源。标记已经成为组织此类资源的事实标准,提供了一种用户易于使用和理解的通用和反应性知识管理机制。现在,用户在各种民俗分类中具有多个简档,从而分发他们的标记活动,这是常见的。在本文中,我们提出了一种方法,用于在两个流行的社交网站上自动整合用户配置文件,以及随后使用Wikipedia作为多域模型的兴趣的语义建模。我们评估从这些网站可以学到多少,以及在哪些领域集中了所获得的知识。结果表明,当组合多个标签云时,可以为用户生成更丰富的兴趣简档。
课程简介: The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources. Tagging has emerged as the de-facto standard for the organisation of such resources, providing a versatile and reactive knowledge management mechanism that users find easy to use and understand. It is common nowadays for users to have multiple profiles in various folksonomies, thus distributing their tagging activities. In this paper, we present a method for the automatic consolidation of user profiles across two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia as a multi-domain model. We evaluate how much can be learned from such sites, and in which domains the knowledge acquired is focussed. Results show that far richer interest profiles can be generated for users when multiple tag-clouds are combined.
关 键 词: 网络; 社交网站; 标签云
课程来源: 视频讲座网
最后编审: 2019-05-05:lxf
阅读次数: 29