Combating web spam with trustrank

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Combating web spam with trustrank (2004)

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by Zoltán Gyöngyi , Hector Garcia-molina , Jan Pedersen

Venue:	In VLDB
Citations:	412 - 3 self

BibTeX

@INPROCEEDINGS{Gyöngyi04combatingweb,
    author = {Zoltán Gyöngyi and Hector Garcia-molina and Jan Pedersen},
    title = {Combating web spam with trustrank},
    booktitle = {In VLDB},
    year = {2004},
    pages = {576--587},
    publisher = {Morgan Kaufmann}
}

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Abstract

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. Instead, we propose techniques to semi-automatically separate reputable, good pages from spam. We first select a small set of seed pages to be evaluated by an expert. Once we manually identify the reputable seed pages, we use the link structure of the web to discover other pages that are likely to be good. In this paper we discuss possible ways to implement the seed selection and the discovery of good pages. We present results of experiments run on the World Wide Web indexed by AltaVista and evaluate the performance of our techniques. Our results show that we can effectively filter out spam from a significant fraction of the web, based on a good seed set of less than 200 sites. 1

Keyphrases

web spam good page higher-than-deserved ranking world wide web significant fraction search engine result seed selection small set link structure web spam page various technique large number reputable seed page semi-automatically separate reputable possible way good seed human expert present result seed page

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