Precisiated information retrieval for RSS feeds
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