Abstract
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.
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Dujovne, L.E., Velásquez, J.D. (2009). Design and Implementation of a Methodology for Identifying Website Keyobjects. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04595-0_37
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DOI: https://doi.org/10.1007/978-3-642-04595-0_37
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