Journal Title
Title of Journal: World Wide Web
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Abbravation: World Wide Web
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Authors: Roxana Horincar Bernd Amann Thierry Artières
Publish Date: 2014/05/02
Volume: 18, Issue: 4, Pages: 913-947
Abstract
With the rapid growth of data sources services and devices connected to the Internet online available web content is getting more and more diverse and dynamic In order to facilitate the efficient dissemination of evolving and temporary information many web applications publish their new information as RSS and Atom documents which are then collected and transformed by RSS aggregators like Feedly or Yahoo News This article addresses the particular issue of large scale aggregation of highly dynamic information sources by focusing on the design of optimal refresh strategies for large collections of RSS feed documents First we introduce two quality measures specific to RSS aggregation which reflect the information completeness and average freshness of the result feeds Then we propose a best effort feed refresh strategy that achieves maximum aggregation quality compared with all other existing policies with the same average number of refreshes This strategy is based on specific online change estimation models developed after a deep analysis of the temporal publication characteristics of a representative collection of realworld RSS feeds The presented methods have been implemented and tested against synthetic and realworld RSS feed data sets
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