document: Identifying link farm spam pages With the increasing importance of search in guiding today 's web traffic , more and more effort has been spent to create search engine spam . Since link analysis is one of the most important factors in current commercial search engines ' ranking systems , new kinds of spam aiming at links have appeared . Building link farms is one technique that can deteriorate link-based ranking algorithms . In this paper , we present algorithms for detecting these link farms automatically by first generating a seed set based on the common link set between incoming and outgoing links of Web pages and then expanding it . Links between identified pages are re-weighted , providing a modified web graph to use in ranking page importance . Experimental results show that we can identify most link farm spam pages and the final ranking results are improved for almost all tested queries .
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