I posted last week about Google’s recent foray into social search. My friends over at Mahalo launched Mahalo Social at LeWeb3 this morning, which adds the social graph to Mahalo’s search results.
The profile pages (see C.K.’s here) allow you to contribute to the results pages and see what your friends are recommending as well.
Oddly, it allows you to add other sites/bookmarks etc, but that doesn’t seem to incorporate those inputs into a recommendation. Not sure why they haven’t chosen to take on as many pre-bookmarked sites as possible to help prime the “recommended links” pump. Perhaps they’ll switch that on in a few weeks time.
One thing that is clear- Mahalo’s search results are becoming better- and more robust. I also think we’ll see a loosening of the “guided” Mahalo over the coming months- with increasing emphasis on the madness of crowds…
Nic posted yesterday about the social search space. I’d highlighted one of the companies he mentioned in an earlier post, Nsyght. I tend to follow the search space closely and have wondered out loud "why isn’t google leveraging social input" to further tweak their algorithms?
It appears I won’t have to wait long to see what Google is cooking up:
This Google experiment page isn’t active yet, so you can’t use it, but does describe how social ranking works.
This experiment lets you influence your search experience by adding, moving, and removing search results. When you search for the same keywords again, you’ll continue to see those changes. If you later want to revert your changes, you can undo any modifications you’ve made. Note that this is an experimental feature and may be available for only a few weeks.
The same way that the YouTube video ads are very primitive, expect to see the social tweaking component of Google’s results become more sophisticated…