The test collection for navigational retrieval on WWW data-Design and characteristics

K. Oyama, Haruko Ishikawa, K. Eguchi, Akiko Aizawa
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引用次数: 1

Abstract

This paper describes the design and characteristics of a test collection for navigational retrieval of WWW data that was built through the WEB Task of the Fourth NTCIR Workshop to evaluate the retrieval effectiveness of Web search systems. This reusable test collection consists of 100 gigabytes of Web document data and 300 topics of various types and corresponding relevance judgments. Among the several types of ‘Navigational Retrieval,’ we selected the ‘Known Item Search,’ which simulates a situation where a user searches for one or a few ‘representative Web pages’ of a known item. It is assumed that the user knows about the item but may not have seen its Web page. Relevance judgments were performed on the probable documents mainly from the viewpoint of representativeness of respective known items represented by the topics. Using the judgment results, several evaluation measures were applied to various retrieval results. Based on the evaluation results, relationships among the types of topics, Web-page styles and search methods are discussed. The stability of the evaluation results with different numbers of topics is also analyzed.
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WWW数据导航检索测试集的设计与特点
本文描述了通过第四届NTCIR研讨会的WEB任务构建的WWW数据导航检索测试集的设计和特点,以评估WEB搜索系统的检索有效性。这个可重用的测试集合由100gb的Web文档数据和300个不同类型的主题以及相应的相关性判断组成。在几种“导航检索”类型中,我们选择了“已知项目搜索”,它模拟了用户搜索已知项目的一个或几个“代表性网页”的情况。假设用户知道该项目,但可能没有见过它的Web页面。主要从题目所代表的各自已知项目的代表性角度对可能的文件进行相关性判断。根据判断结果,对各种检索结果应用几种评价措施。根据评估结果,讨论了主题类型、网页样式和搜索方法之间的关系。对不同主题数下评价结果的稳定性进行了分析。
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