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User profiling for Web page filtering

机译:用户配置文件以进行网页过滤

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摘要

To help address pressing problems with information overload, researchers have developed personal agents to provide assistance to users in navigating the Web. To provide suggestions, such agents rely on user profiles representing interests and preferences, which makes acquiring and modeling interest categories a critical component in their design. Existing profiling approaches have only partially tackled the characteristics that distinguish user profiling from related tasks. The authors' technique generates readable user profiles that accurately capture interests, starting from observations of user behavior on the Web.
机译:为了帮助解决信息过载带来的紧迫问题,研究人员开发了个人代理,可以为用户导航Web提供帮助。为了提供建议,此类代理依赖于表示兴趣和偏好的用户配置文件,这使得获取和建模兴趣类别成为其设计中的关键组成部分。现有的概要分析方法仅部分解决了区分用户概要分析和相关任务的特征。作者的技术从观察Web上的用户行为开始,生成可准确捕获兴趣的可读用户配置文件。

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