Towards Building a Personalized Online Web Spam Detector in Intelligent Web Browsers

Most of the extant studies about web spam detection either explicitly or implicitly assume that web spam detection is performed on the server side of a search engine. In this paper, we argue that in some scenarios, web spam detection is preferred to be conducted on the client side (e.g., intelligent web browsers). When a page is viewed using an intelligent web browser, an integrated personalized web spam detector can determine whether the page is spam or not specifically tailored to the user´s judgements. We propose a framework for implementing a personalized web spam detector. The experimental results obtained from an empirical evaluation confirmed the effectiveness of the proposed personalized web spam detection method.