BisNet: An Information Sharing System Using Bookmarks of Web Browsers
BisNet: An Information Sharing System Using Bookmarks of Web Browsers
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BisNet：使用网络浏览器书签的信息共享系统
DOI：
10.1527/tjsai.20.281
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发表时间：
2005
影响因子：
--
通讯作者：
Hiroki Sayama
中科院分区：
文献类型：
--
作者：
K. Sano;Hiroki Sayama
我们提出了一个新的信息共享系统，命名为“BisNet”，它自动收集有关存储在用户的Web浏览器中的书签的信息，并帮助用户交换可能感兴趣的网页的URI与其他人谁有类似的兴趣与他们。不同于其他典型的代理服务，收集和提供信息，根据预先注册的用户配置文件，BisNet预计将分享更多的相关信息，因为它使用的网络浏览器书签，积极选择和订购的许多人。为了提高信息共享的相关性，我们开发了一种新的算法的目录评估。该算法只查看书签目录和URI之间的本地引用结构，并为每个目录计算“顺序索引”，该索引表示其内容URI的顺序，重点关注特定的感兴趣区域。然后，每个目录从具有大顺序索引的其他相关目录接收新的URI。这种URI交换的重复使得整个目录-URI网络根据它们引用的URI的共性动态地形成目录组。我们的方法是独特的，因为它不注意网页的实际内容，因此比其他基于内容分析结果的方法更简单，更快。我们进行了一项现场试验，涉及45名使用BisNet客户端原型版本的人。结果表明，共享URI的相关性与周围相关目录的“顺序指数”正相关，证明了我们提出的方法的有效性。
We propose a new information sharing system, named ``BisNet'', which automatically gathers information about the bookmarks stored in users' web browsers and helps the users exchange URIs of possibly interesting web pages with others who have similar interest with them. Being different from other typical agent services that gather and provide information according to pre-registered user profiles, BisNet is expected to share more relevant information because of its use of web browser bookmarks that are actively selected and ordered by many humans. To enhance the relevance of information being shared, we developed a novel algorithm for directory evaluation. This algorithm only looks at the local referential structure between bookmark directories and URIs and calculates for each directory the ``order index'' that represents how well its content URIs are put in order with a focus on specific areas of interest. Then each directory receives new URIs from other related directories with large order indexes. The repetition of such URI exchanges makes the whole directory-URI networks dynamically form directory groups according to the commonness of the URIs they refer to. Our method is unique in that it pays no attention to the actual contents of web pages, and thus is much simpler and faster than other methods based on the result of content analysis. We carried out a field trial that involved 45 people who used a prototype version of BisNet clients. The result indicated that the relevance of shared URIs positively correlated with the ``order index'' of surrounding related directories, demonstrating the effectiveness of the method we proposed.
基于代理社区的点对点信息检索
DOI：
--
发表时间：
2004
期刊：
AAMAS2004
影响因子：
--
作者：
奥 健太;中島 伸介;宮崎 純;植村 俊亮;Tsunenori Mine et al.
通讯作者：
Tsunenori Mine et al.