Survey on Web Spam and its underlying principles
Search engines have became a de facto place to start information acquisition on the Internet. Although due to web spam phenomenon, search results are not always as fine as they are expected. Moreover, spam evolves that makes the problem of providing high quality search even more challenging. Over the last decade research on information retrieval has gained a lot of interest both from academics and industry. In this paper, systematic review of web spam detection techniques and underlying principles are presented. Existing algorithms are categorized into three categories based on the type of information they use: content-based methods, methods based upon links and methods based on non-traditional data such as user behavior for e.g. clicks and image spam is given. A brief survey on various spam forms is provided. Finally, the underlying principles are summarized
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