Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Modern Information Retrieval
Self-Organizing Maps
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
MPEG-7 multimedia description schemes
IEEE Transactions on Circuits and Systems for Video Technology
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Combining eye-tracking technologies with web usage mining for identifying Website Keyobjects
Engineering Applications of Artificial Intelligence
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Rich media websites like Flickr or Youtube have attracted the largest user bases in the last years, this trend shows web users are particulary interested in multimedia presentation formats. On the other hand, Web Usage and Content Mining have focused mainly in text-based content. In this paper we introduce a methodology for discovering Website Keyobjects based in both Web Usage and Content Mining. Keyobjects could be any text, image or video present in a web page, that are the most appealing objects to users. The methodology was tested over the corporate site of dMapas a Chilean Geographical Information Systems service provider.