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Résumé

A web feed is a new kind of web services that was created in the past two decades to keep remote users updated with the latest news without having to crawl individual web sites. Currently, the existing web feed services get their information from one source (the website hosting the feed) in a standardized format that is normally structured as follows: title, description, link, image and date. In this paper, we propose a new method called NERVES (social Networks sERVing wEb feedS) that connects web feeds to a Social Networking Sites (SNS), and aims at (1) keeping users aware of the wider context taking into account both the source of the feed and the SNS. (2) Our approach enriches existing feeds with extra information harvested from the social web. We validated the efficiency and accuracy of our approach on public data and report on empirical results yielding an accuracy of 94%.

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