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- W4253083841 abstract "This chapter introduces a comprehensive solution to assist in the detection of Web spam. Web spam pages use various techniques to achieve higher-than-deserved rankings in a search engine's results. While human experts can identify spam, it is too expensive to manually evaluate a large number of pages. The chapter proposes techniques to separate reputable, good pages from spam semi-automatically. The chapter also discusses possible ways to implement the seed selection and the discovery of good pages. It presents results of investigations performed on the World Wide Web indexed by AltaVista and evaluates the performance of the techniques. The results show that one can effectively filter out spam from a significant fraction of the Web, based on a good seed set of less than 200 sites." @default.
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- W4253083841 date "2004-01-01" @default.
- W4253083841 modified "2023-10-11" @default.
- W4253083841 title "Combating Web Spam with TrustRank" @default.
- W4253083841 doi "https://doi.org/10.1016/b978-012088469-8/50052-8" @default.
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