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IDEAL
2009
Springer

Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps

9 years 11 months ago
Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps
With the rapid and dramatic increase in web feeds published by different publishers, providers or websites via Really Simple Syndication (RSS) and Atom, users cannot be expected to scan, select and consume all the content manually. This is leading to an information overload for consumers as the amount of content increases. With this growth there is a need to make the content more accessible and allow it to be efficiently searched and explored. This can be partially achieved by structuring and organising the content dynamically into topics or categories. Typical approaches make use of categorisation or clustering, however these approaches have a number of limitations such as the inability to represent the connections between topics and being heavy dependent on fixed parameters. In this paper we apply the topological tree method, to dynamically identify categories, on financial and business news feed dataset. The topological tree method is used to automatically organise an aggregation o...
Richard T. Freeman
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where IDEAL
Authors Richard T. Freeman
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