Geotracker: geospatial and temporal RSS navigation

The Web is rapidly moving towards a platform for mass collaboration in content production and consumption. Fresh content on a variety of topics, people, and places is being created and made available on the Web at breathtaking speed. Navigating the content effectively not only requires techniques such as aggregating various RSS-enabled feeds, but it also demands a new browsing paradigm. In this paper, we present novel geospatial and temporal browsing techniques that provide users with the capability of aggregating and navigating RSS-enabled content in a timely, personalized and automatic manner. In particular, we describe a system called GeoTracker that utilizes both a geospatial representation and a temporal (chronological) presentation to help users spot the most relevant updates quickly. Within the context of this work, we provide a middleware engine that supports intelligent aggregation and dissemination of RSS feeds with personalization to desktops and mobile devices. We study th...

• Type: Conference
• Year: 2007
• Where: WWW
• Authors: Yih-Farn Robin Chen, Giuseppe Di Fabbrizio, David C. Gibbon, Rittwik Jana, Serban Jora, Bernard Renger, Bin Wei
• Keywords: Internet Technology, Location Inference Performance, Machine Learning Techniques, Temporal Browsing Techniques, WWW 2007