• http://www.michael-martinez.com/ Michael Martinez

    Amen, brother Eric! Amen!

  • http://www.rimmkaufman.com George Michie

    One of the best dissertations on the topic I have read. Kudos, Eric.

  • http://www.iacquire.com Joe Griffin

    To be really proficient at curating links you need manpower and good technology. Systems can certainly be tracked if they create patterns, but systems don’t always have to create patterns. Careful management of the process and really strong technology is required to be a competitive link builder. IMO, you can’t be efficient without an insanely good process – especially not if you want to be cross-vertical.

  • loiswingerson

    Without resorting to active curation by medical librarians, specialty search engines can be far better than Google for a targeted audience. For “pediatric hearing loss,” a far better option is Searchmedica (searchmedica.com), where you can look in a targeted list chosen by specialists, on a pediatric specialty channel, and where recency of publication date ranks high in the algorithm–which is far more important than popularity to a medical or scientific audience. (Full disclosure: I’m content manager.) Even so, we’re always pondering ways to improve search results which still don’t perfectly answer queries.

  • http://truelike.com truelike

    The only way I can see Google (or any search engine) continuing to evolve in a positive direction is to increasingly integrate social clues, as we’ve already seen them start to do. They’re showing social data in Google News now, and integrating tweets into their results, and now they’re looking at user reviews to determine rankings for merchants, so over time we’ll certainly see more and more of this as they make their algorithm smarter by integrating the wisdom of the crowds. Bing is now using Facebook data, and that tie will surely get deeper.

    The trick, of course, will be choosing social cues that are relatively hard for unscrupulous webmasters and SEOs to game…

  • http://www.ericitzkowitz.com Eric Itzkowitz

    I have been trying to read this article for about a week now and glad I finally made time to do so.

    I LOVE your statement, “You are the algorithm, my friend, and you always have been.”

    The algos have to be learning from us so they can study our patterns, en masse, then adjust where necessary. Part Human. Part machine… The Googlenator!