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Article
Precisiated information retrieval for RSS feeds
Information Management & Computer Security (2007)
  • Chris Tseng, San Jose State University
  • Patrick Ng, Cisco Systems Inc.
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
  • Internet,
  • Information retrieval
Publication Date
2007
DOI
10.1108/09685220710759531
Citation Information
Chris Tseng and Patrick Ng. "Precisiated information retrieval for RSS feeds" Information Management & Computer Security Vol. 15 Iss. 3 (2007) p. 184 - 200 ISSN: 0968-5227
Available at: http://works.bepress.com/chris_tseng/7/