A Method for Desktop Search Based on Implicit Link Structure of Personal Content about User's Experience

近来，随着个人内容（例如电子邮件消息和数字照片等）的数量的显著增加，需要开发一种针对个人内容的有效搜索技术。个人内容的特征之一是许多个人内容与个人经历有关。在这项工作中，我们把个人内容作为个人经验的代表，我们假设用户请求获得有关个人经验的各种类型的信息，而不是个人内容的个人内容搜索。基于这一假设，我们已经开发了一种新的排名技术的个人内容。该技术使用个人内容之间的显式链接和隐式链接进行排名。排名标准是目标如何充分代表个人经历。

Recently, according to the remarkable increasing of the number of personal contents, such as e-mail messages and digital photographs and so on, it is required to develop an effective search technique for personal contents. One of the characteristic features of personal contents is that many of personal contents are related to personal experiences. In this work, we treat personal contents as representations of personal experience, and we assume that a user requests to obtain various types of information about personal experiences instead of personal contents on personal contents search. Based on this assumption, we have developed a novel ranking technique for personal contents. This technique uses explicit links and implicit links among personal contents for ranking. The ranking criterion is how sufficiently targets represent personal experiences.