Entropy based content filtering for Mobile Web Page Adaptation

Neetu Narwal, Sanjay Kumar Sharma, Amit Prakash Singh

Abstract: A global increase in the usage of mobile devices and the availability of internet services on the phone has increased the usage of internet on these devices. However, these devices face a major challenge of limited screen space, less bandwidth and processing capability. A majority of the website are designed to be viewed on PCs, Desktop etc. Hence mobile Internet user finds it difficult to browse the web page. In this paper we present an approach to filter the informative web page content and rearrange it on the available screen space of mobile device. In this process the web page is segmented into visual blocks and then the entropy measure of each visual block is computed in terms of content entropy and feature entropy. The model is trained using neural network classifier to segregate main content and noise content.