Extracting document relationships by analyzing user's activity history

Akira Karasudani, Satoshi Iwata, Tatsuro Matsumoto, H. Aritake
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Abstract

In order to reduce people's workload of looking for valuable information from a large amount of available information, recommendation systems, task management systems, and so on are attracting considerable attention. Such systems are expected to allow easy access to information under the current work context. In the development of these systems, how to handle a user's current work context to know what information he wants to use is a key point. We have developed a novel method to extract relationships among documents as the work context by analyzing the user's activity history according to several viewpoints of a human being who memorizes and seeks information. We report the details of the proposed method, the evaluation result, and an application example.
通过分析用户的活动历史提取文档关系
为了减少人们从大量的可用信息中寻找有价值信息的工作量,推荐系统、任务管理系统等都受到了相当大的关注。预期这种系统将使人们能够方便地取得目前工作情况下的资料。在这些系统的开发中,如何处理用户当前的工作环境来了解他想要使用的信息是一个关键点。我们开发了一种新的方法,通过分析用户的活动历史,根据记忆和寻找信息的人的几个观点,提取文档之间的关系作为工作上下文。我们报告了该方法的细节、评估结果和一个应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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