Author： Hui Siu-Cheung Goh Angela
Publisher： Taylor & Francis Ltd
ISSN： 1087-6553
Source： Cybernetics and Systems, Vol.29, Iss.6, 1998-09, pp. : 577-591
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
With the information explosion from the Internet, there is a need to efficiently determine the relevance of information. This paper discusses an approach to information filtering using dynamic abstract generation techniques. Different abstract generation techniques such as the location method, indicative-phrases, keyword frequency, and title-keyword method are incorporated into a retrieval interface for on-line news articles. During news retrieval, abstract generation, an extract containing a set of verbatim sentences from the news article will be automatically produced. This will form an indicative abstract from which the prospective reader can then decide whether to read the full-length news article. In this way, a reader can filter out irrelevant news articles without having to review the entire article.
Related content
Access to resources
Recommend
Information filtering using SVD and ICA
By Yokoi Takeru Yanagimoto Hidekazu Omatu Sigeru
Artificial Life and Robotics, Vol. 10, Iss. 2, 2006-11 ,pp. :
ON-LINE AUTOMATIC HELP GENERATION SYSTEMS
By Taboada M . Marin R . Mira J.
Cybernetics and Systems, Vol. 27, Iss. 3, 1996-06 ,pp. :