Semantic web framework for designing personalized information and adaptive web services

网络上可获得的大量信息造成了经常被引用的信息过载问题，用户发现它在认知上有压力，很难找到“相关”信息。我们正在进行一项信息个性化(IP)研究计划，旨在根据用户的人口统计特征、知识、兴趣、偏好、需求、目标和行为态度来指导用户个性化基于Web的信息中介体验。我们的知识产权方法超越了使基于网络的信息的界面级别的呈现个性化的主流技术。相反，我们解决了更复杂的问题，即对交付给用户的实际信息内容进行个性化。

The sheer volume of information available over the Web has created the much-cited information overload problem whereby users are finding it cognitively stressful and difficult to find 'relevant' information. We are pursuing an Information Personalization (IP) research program that seeks to personalize the users web-based information mediation experience guided by a profile that characterizes their demographics, knowledge, interests, preferences, needs, goals and behavioural attitudes. Our IP approach extends beyond the prevailing techniques for personalizing the interface-level presentation of web-based information. Instead, we address the more complex issue of personalizing the actual information content delivered to users.