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Geotracker: geospatial and temporal RSS navigation
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International World Wide Web Conference archive
Proceedings of the 16th international conference on World Wide Web table of contents
Banff, Alberta, Canada
SESSION: Smarter browsing table of contents
Pages: 41 - 50  
Year of Publication: 2007
ISBN:978-1-59593-654-7
Authors
Yih-Farn Robin Chen  AT&T Labs, Florham Park, NJ
Giuseppe Di Fabbrizio  AT&T Labs, Florham Park, NJ
David Gibbon  AT&T Labs, Middletown, NJ
Serban Jora  AT&T, Florham Park, NJ
Bernard Renger  AT&T, Florham Park, NJ
Bin Wei  AT&T, Florham Park, NJ
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

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 the navigation capabilities of this system on two kinds of data sets, namely, 2006 World Cup soccer data collected over two months and breaking news items that occur every day. We also demonstrate that the application of such technologies to the video search results returned by YouTube and Google greatly enhances a user.s ability in locating and browsing videos based on his or her geographical interests. Finally, we demonstrate that the location inference performance of GeoTracker compares well against machine learning techniques used in the natural language processing/information retrieval community. Despite its algorithm simplicity, it preserves high recall percentages.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Web 2.0 -- http://en.wikipedia.org/wiki/web_2.0
 
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SmugMug Inc., "SmugMaps: combining the power of Google Maps with 65,000000+SmugMug photos", 2006, http://maps.smugmug.com/
 
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Flikmap. A Semsym project. 2006. http://flickmap.semsym.com/
 
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Clinton, D. "OpenSearch Specifications, 1.1, Draft 3," A9.com, http://www.opensearch.org/Specifications/OpenSearch/1.1
 
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GeoRSS http://www.georss.org
 
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Yahoo. "MediaRSS -- Specification Version 1.1.1", Oct. 2005. http://en.wikipedia.org/wiki/Media_RSS
 
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Wikipedia, http://en.wikipedia.org/wiki/Wiki.
 
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Nottingham, S. and Sayre, R. "The Atom Syndication Format", IETF RFC 4287, Dec. 2005. http://tools.ietf.org/html/rfc4287
 
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Collaborative Colleagues:
Yih-Farn Robin Chen: colleagues
Giuseppe Di Fabbrizio: colleagues
David Gibbon: colleagues
Serban Jora: colleagues
Bernard Renger: colleagues
Bin Wei: colleagues