Machine Learning for Web Page Adpatation
نویسندگان
چکیده
Recent years have witnessed a drastic technological advancement in the heterogeneous display devices and they have come within the reach of individuals. But most of the websites available on Internet do not utilize the spaces available in these large screen devices as well as the small screen devices probe difficulties in adjusting the web contents on the available space. In this study, we propose a system to provide accurate and faster user perceived adaptation of the web page content. The research is in parallel to the existing W3C (World Wide Web consortium) standards and state-of-art existing web page adaptive systems, by taking into consideration web content analysis in terms of semantic coherence and block importance. Keywords—Web Information Retrival, Page Segmentation, Visual Blocks, web page adaptation.
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