• http://www.position2.com Vinod Nambiar

    Great article. I “like” the point you make about people “like me” and the people “i like’!

    But i would assume for most cases, stats will go on to prove that people you like..share a lot in common


  • http://www.iexposure.com C. Lobo – Internet Exposure

    This is an interesting point of view on the growth of social search. And one that I agree with, I think as our social networks become more and more populated with everyone we’ve ever met throughout our lives, unsocial search will be preferred. A new feature that allows us to optimize our search results based on only certain persons’ in our network’s “Likes” would be even better! Perhaps this technology is not far off the horizon.

  • grantmiller

    that is a really interesting spin on search… i love the idea of combining demographics as a higher level meta data to your personalized SERPs. In terms of social search, a few months ago i did a quick prototype of search results organized by the number of total facebook \likes\ for each url & launched it as proof of concept at: http://www.likelysearch.com … it is a simple implementation, but some of the results are pretty interesting for broader category type searches.

  • http://www.mindshareworld.com Ciarán Norris

    Thanks for the comments – I’m glad you all found it interesting.

    @Vinod – I agree that friends often share a lot of commonalities, but not everything. I think that what @Lobo suggests is the right way – somewhere in between, taking note of both. Interestingly, this would appear to be the way that Google sees the social web (I’ve tried to find a slideshare presentation where a Google developer expands on this, but I can’t – sorry!)

    @grantmiller – looks really interesting; a geographical slant would be a fascinating addition.