document: Combining anchor text categorization and graph analysis for paid link detection In order to artificially boost the rank of commercial pages in search engine results , search engine optimizers pay for links to these pages on other websites . Identifying paid links is important for a web search engine to produce highly relevant results . In this paper we introduce a novel method of identifying such links . We start with training a classifier of anchor text topics and analyzing web pages for diversity of their outgoing commercial links . Then we use this information and analyze link graph of the Russian Web to find pages that sell links and sites that buy links and to identify the paid links . Testing on manually marked samples showed high efficiency of the algorithm .
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