Low Cost Page Quality Factors To Detect Web Spam

Ashish Chandra
2020 Zenodo  
Web spam is a big challenge for quality of search engine results. It is very important for search engines to detect web spam accurately. In this paper we present 32 low cost quality factors to classify spam and ham pages on real time basis. These features can be divided in to three categories: (i) URL features, (ii) Content features, and (iii) Link features. We developed a classifier using Resilient Back-propagation learning algorithm of neural network and obtained good accuracy. This
more » ... can be applied to search engine results on real time because calculation of these features require very little CPU resources.
doi:10.5281/zenodo.3876356 fatcat:5xfzzmiv35hmlc7gsmecgjpj2m