Finding Pertinent Page-Pairs from Web Search Results
Finding Pertinent Page-Pairs from Web Search Results
复制标题
从 Web 搜索结果中查找相关页面对
DOI：
10.1007/11599517_34
复制
发表时间：
2005
期刊：
影响因子：
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通讯作者：
Katsumi Tanaka
中科院分区：
文献类型：
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作者：
T. Yumoto;Katsumi Tanaka
传统的Web搜索引擎将每个页面作为排名单位进行评估。当用户希望拥有的信息分布在多个Web页面上时，很难用这些传统的引擎找到相关的搜索结果。此外，搜索结果列表很难检查，它们并没有告诉我们任何关于搜索到的网页之间的关系。我们经常需要收集反映不同观点的网页。这里，页面的集合作为搜索结果项可能比单个网页更相关。在本文中，我们提出的想法来实现的概念，“多视点检索”的Web搜索。多视点检索是指从不同的视点对特定主题的Web页面进行检索，收集多个Web页面集合，对每个集合进行排序作为检索结果，并将其作为结果返回。在本文中，我们考虑的情况下，页面对。我们描述了一种基于特征向量的方法来找到相关的页面对。我们还分析了页对的特性。
Conventional Web search engines evaluate each single page as a ranking unit. When the information a user wishes to have is distributed on multiple Web pages, it is difficult to find pertinent search results with these conventional engines. Furthermore, search result lists are hard to check and they do not tell us anything about the relationships between the searched Web pages. We often have to collect Web pages that reflect different viewpoints. Here, a collection of pages may be more pertinent as a search result item than a single Web page. In this paper, we propose the idea to realize the notion of “multiple viewpoint retrieval” in Web searches. Multiple viewpoint retrieval means searching Web pages that have been described from different viewpoints for a specific topic, gathering multiple collections of Web pages, ranking each collection as a search result and returning them as results. In this paper, we consider the case of page-pairs. We describe a feature-vector based approach to finding pertinent page-pairs. We also analyze the characteristics of page-pairs.