Finding Unknown Interests Utilizing the Wisdom of Crowds in a Social Bookmark Service
Finding Unknown Interests Utilizing the Wisdom of Crowds in a Social Bookmark Service
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DOI：
10.1109/wi-iatw.2006.73
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发表时间：
2006-12
期刊：
影响因子：
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通讯作者：
Kei Shiratsuchi;S. Yoshii;M. Furukawa
中科院分区：
文献类型：
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作者：
Kei Shiratsuchi;S. Yoshii;M. Furukawa
在本文中，我们开发了一个信息推荐系统的基础上，由不同的用户编辑的信息。这个系统的目标是一个社会书签服务。我们的方法，找到适当的信息是收集每个用户的书签数据在Web上，并开发一个系统，分析用户的关联。假设有相似兴趣的用户也有与这些兴趣相关的信息，我们将用户共引关系描述为一个网络。我们从这个网络中提取子图作为每个用户中心所在的社区。我们开发了一个Web服务，旨在自动推荐有关这些兴趣的新信息。该服务具有与指定用户共享相似偏好的用户列表和向用户呈现推荐信息的系统
In this paper, we develop an information recommendation system based on information edited by various users. This system targets a social bookmark service. Our method for finding appropriate information is to gather each user's bookmark data on the Web and develop a system that analyzes the user's association. Assuming that users that have similar interests also have information associated to those interests, we describe user co-citation relationships as a network. We extract the sub-graph as the community in which each user centers from this network. And we develop a Web service designed to automatically recommend new information regarding these interests. That service has a list of users who share similar preferences with the specified user and a system to present recommended information to the user