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      This new approach seems remarkably resistant to existing pagerank manipulation techniques. Given a preference-vector, it stays “on topic” remarkably well.

      That’s unsurprising. But is it resistant against cosine similarity manipulation techniques?

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        It might be harder to manipulate?

        PageRank is insensitive to the topics of linking sites, and is only concerned with popularity. This made comment spam and sales of high-profile links work well.

        But if you also require links to come from specific sets of on-topic sites, then random blogspam won’t work any more. A janky content farm linking to garbage may end up clustered with garbage.

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      I’d be interested in learning more on this new approach. This article only seemed to discuss weaknesses of the previous approach, but perhaps my scan was too cursory?