Implementing Web Classification for TLDs

Abstract

On the market there are many commercial web classification services and a few publicly available web directory services. Unfortunately they mostly focus on English-speaking web sites, making them unsuitable for other languages in terms of classification reliability and coverage. This paper covers the design and implementation of a web-based classification tool for TLDs (Top Level Domain). Each domain is classified by analysing the main domain web site, and organised itin categories according to its content. The tool has been successfully validated by classifying all the registered .it Internet domains, whose results are presented in this paper.

OWGC-HMC: An Online Web Genre Classification Model Based on Hierarchical Multilabel Classification

“…Jebari [12,22] proposed a new multilabel centroid-based approach with URL, title, headings, and link features, which calculated the similarity between the new page and each genre centroid. Deri et al [23] defined 13 genres and extracted the list of all registered .it domains from the domain database. ey evaluated how to combine probabilistic classifier and SVM classifier to improve the results.…”