Browsing help for faster document retrieval

COLING '04 Proceedings of the 20th international conference on Computational Linguistics(2004)

引用 5|浏览0
暂无评分
摘要
In this paper, the search engine Intuition is described. It allows the user to navigate through the documents retrieved with a given query. Several "browse help" functions are provided by the engine and described here: conceptualisation, named entities, similar documents and entity visualization. They intend to "save the user's time". In order to evaluate the amount of time these features can save, an evaluation was made. It involves 6 users, 18 queries and the corpus is made of 16 years of the newspaper Le Monde. The results show that, with the different features, a user get faster to the needed information. fewer non-relevant documents are read (filtering) and more relevant documents are retrieved in less time.
更多
查看译文
关键词
browsing help,entity visualization,relevant document,needed information,different feature,similar document,fewer non-relevant document,browse help,newspaper le monde,search engine intuition,faster document retrieval
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要