Automatic keyword prediction using Google similarity distance

NCU Institutional Repository > 管理學院 > 資訊管理學系 > 期刊論文 > Item 987654321/51801

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/51801

题名:	Automatic keyword prediction using Google similarity distance
作者:	Chen,PI;Lin,SJ
贡献者:	資訊管理學系
关键词:	WEB SEARCH;RETRIEVAL;CONTEXT;LENGTH
日期:	2010
上传时间:	2012-03-27 19:06:29 (UTC+8)
出版者:	國立中央大學
摘要:	In this paper, we present a new approach to help users using search engines without entering any keywords. What we want to do is to predict what word the users may want to search before they think about it. Most of the studies done in this field focus on how to help users enter keywords or how to re-rank the search results in order to make them more precise. Both of those methods need to establish a user behavior model and a repository in which to save the logs. In our proposed method, we use the Google similarity distance to measure keywords in the Webpage to find the potential keywords for the users. Thus, we do not need any repository. All the executions are on-line and real-time. Then, we extract all the important keywords as the potential search keywords. In this way, we can use these professional keywords to achieve precise search results. We believe that this can be useful in many areas such as e-learning and can also be used in mobile devices. (C) 2009 Elsevier Ltd. All rights reserved.
關聯:	EXPERT SYSTEMS WITH APPLICATIONS
显示于类别:	[資訊管理學系] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	451	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing