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Precisiated information retrieval for RSS feeds

Chris Tseng (Computer Science Department, San Jose State University, San Jose, California, USA)
Patrick Ng (Cisco Systems Inc., San Jose, California, USA)

Information Management & Computer Security

ISSN: 0968-5227

Article publication date: 12 June 2007

866

Abstract

Purpose

Aims to report a novel method of filtering RSS feeds for obtaining more precise and related information without having to browse through all the incoming feeds.

Design/methodology/approach

Improve relevance ratio of incoming RSS feeds with configurable filtering phrases on feed title and feed page content. More relevant RSS feeds are obtained when additional semantically related synonym filtering phrases are used.

Findings

Finds that filtering leads to more precise RSS feeds and extending the filtering phrase with synonym semantic can increase the number of relevant feeds by 3‐5 times.

Originality/value

The system documented here has been found to be able to help RSS feeds subscribers to browse fewer items with higher matching rate.

Keywords

Citation

Tseng, C. and Ng, P. (2007), "Precisiated information retrieval for RSS feeds", Information Management & Computer Security, Vol. 15 No. 3, pp. 184-200. https://doi.org/10.1108/09685220710759531

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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