A Study on Web Spam Classification and Algorithms

The various spams in the internet is classified based on the properties of spam such as spam content, type and ranking. The impact of various spams in social network, email, image, content and links is discussed and the techniques are listed to prevent the spam in various area. Also it reviews the two groups of spam detection techniques and algorithms such as content based methods and link based methods. Link based methods are further subdivided into five groups such as label propagation, link pruning and reweighting, label refinement, graph regularization. The review compares the label propagation, link pruning and reweighting, label refinement, graph regularization and feature based methods based on the various factors like type of information used, algorithms, working, complexity and mining techniques.