Optimizing WebPage Interest
نویسندگان
چکیده
In the rapidly evolving and growing environment of the internet, website owners aim to maximize interest for their website. In this article we propose a model, which combines the static structure of the internet with activity based data, to compute a website interest ranking. This ranking can be used to gain more insight into the flow of users over the internet, optimize the position of a website and improve strategic decisions and investments. The model consists of a static centrality based component and a dynamic activity based component. These components are used to create a Markov Model in order to compute a n-th order ranking.
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