Guiding Web Search by Third-party Viewpoints: Browsing Retrieval Results by Referential Contexts in Web
Guiding Web Search by Third-party Viewpoints: Browsing Retrieval Results by Referential Contexts in Web
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DOI：
10.1007/978-3-540-30075-5_86
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发表时间：
2004-08
期刊：
影响因子：
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通讯作者：
K. Zettsu;Y. Kidawara;Katsumi Tanaka
中科院分区：
文献类型：
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作者：
K. Zettsu;Y. Kidawara;Katsumi Tanaka
在典型的网络搜索会话中，用户从部分定义的查询开始，随着用户发现有关搜索域的更多信息，这些查询会被细化。传统方法强调缩小搜索范围，但很少关注概述搜索范围，即用户以自下而上的方式聚合检索结果。尽管标准技术是对页面内容进行聚类，但这变得很困难，因为由于碎片查询，结果包含广泛的页面内容。在本文中，我们提出了一种基于检索结果的“第三方观点”来概述搜索范围的方法。一个网页可以通过超链接在各种上下文中被其他网页引用。所提出的方法提取页面周围适当范围的网页内容作为参考上下文。通过对相似的上下文进行聚类，可以发现网页“方面”作为页面引用的概括描述。可视化页面内容和方面之间的相关性有助于用户找到检索结果的连贯语义单元，这些语义单元被分类为确认页面、通用页面和替代页面。我们解释了所提出的方法和原型实现的细节。
In a typical web search session, a user starts with partially defined queries which are refined as the user finds out more about the search domain. Conventional approaches emphasize narrowing the search, but pay little attention to outlining the scope of search, in which the user aggregates the retrieval results in a bottom-up approach. Although the standard technique is to cluster the page contents, this becomes difficult as the results contain a wide spectrum of page contents due to the fragmentary queries. In this paper, we propose an approach for outlining the scope of search based on “third-party viewpoints” on retrieval results. A web page is referred to by other web pages in various contexts through hyperlinks. The proposed method extracts an appropriate range of web contents surrounding the page as the referential context. By clustering similar contexts, web page “aspects” are discovered as generalized descriptions of the page references. Visualizing correlations between the page contents and the aspects helps a user find coherent semantic units of the retrieval results, which are classified into acknowledged pages, versatile pages, and alternative pages. We explain the details of the proposed method and a prototype implementation.