Semantic User Modelling for Personal News Video Retrieval
Semantic User Modelling for Personal News Video Retrieval
复制标题
个人新闻视频检索的语义用户建模
DOI：
10.1007/978-3-642-11301-7_35
复制
发表时间：
2010
影响因子：
3.6
通讯作者：
J. Jose
中科院分区：
文献类型：
--
作者：
F. Hopfgartner;J. Jose
由于通过广播和其他渠道获得的新闻材料的爆炸性增长，需要个性化的新闻视频检索。在这项工作中，我们介绍了一种基于语义的用户建模技术，以捕捉用户不断变化的信息需求。我们的方法利用链接开放数据云来捕捉和组织用户的兴趣。有组织的兴趣被用来检索和推荐新闻故事给用户。该系统监视用户与其界面的交互，并使用此信息来捕获他们对新闻的不断变化的兴趣。根据用户的兴趣获取新的相关材料并将其呈现给用户。进行了以用户为中心的评估，结果显示了我们的方法的承诺。
There is a need for personalised news video retrieval due to the explosion of news materials available through broadcast and other channels. In this work we introduce a semantic based user modeling technique to capture the users' evolving information needs. Our approach exploits the Linked Open Data Cloud to capture and organise users' interests. The organised interests are used to retrieve and recommend news stories to users. The system monitors user interaction with its interface and uses this information for capturing their evolving interests in the news. New relevant materials are fetched and presented to the user based on their interests. A user-centred evaluation was conducted and the results show the promise of our approach.