Abstract
Search engines have become 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EPH - International Journal of Science And Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
