Functional Classification of Websites
Najlah Gali, Radu Mariescu Istodor, Pasi Fränti · 2017
We propose a novel method to classify websites based on their functional purpose. A website is classified either as single service, brand or service directory. We utilize a number of features that are derived from the link of the website, the postal addresses found in the website, the size of the website, and the text of the anchor element in the Document Object Model tree. We utilize two models to perform the classification task: decision tree and clustering-based models. Our method is fully automated and does not require extensive training data or user interaction. The proposed website classifier improves the baseline by 2 percentage points in case of single service, 33 percentage points in case of brand and 18 percentage points in case of service directory.