Relevance in blog search is very difficult. Google-stype PageRank analysis, which looks at incoming links to a piece of content, simply doesn’t work because new content doesn’t have much in the way of links. Until now, no one has come up with a way to properly sort blog posts by relevance, and the general default way of showing results is “reverse-chronoâ€?, which simply puts the newest stuff at the top.

Sphere appears to have solved the problem, or at least taken big steps in the right direction. Their approach involves three key algorithms – an analysis of links into and out of a blog, an analysis of metadata around a post (links, post frequency, length of posts, etc.), and something Tony calls their “secret sauceâ€?, which is content semantic analysis to filter out spam and to understand what a blog post is talking about.

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