Andy Beal of webpronews writes about a recent conversation with Ask Jeeves vice president of products, Jim Lanzone. One element of that chat had to do with the theme of social search:
"[AB] Companies such as Eurekster are betting that social networking is the future of quality search engine results, what are your thoughts?
[JL] In terms of the social networking devices being developed by other companies, there are two types we're seeing get attention. The first is the kind being used by the likes of Friendster and Tribe.net, where social networks are being used to help people find a job or a gardener or a date. The potential problem with this is the "reverse network effect", whereby the more the network grows, the less useful the recommendations are by those in the network. For example, how much more useful is it to me, versus the yellow pages or a search engine, to be recommended a contractor by my friend's cousin's neighbor? Now imagine if that's how I'm finding a date for next Friday night?
Meanwhile, with something like Eurekster, the "social networking search engine", you may face the same problem. At what point are these results more useful than those given by our "normal" engine, which is already getting smarter and smarter about who and when it serves up certain results. So, in the end, we believe that social networking as defined and utilized by Teoma is the best of breed way to go in this area, and the most effective growth will be built on its foundation.
[AB] What makes Teoma the best of breed?
[JL] Our Teoma technology is predicated on social networking theory, as originally pursued by the Clever team at IBM in the mid-90's. Teoma was the first (and is still the only) search technology that can identify the Web graph's expert hubs and authorities in real time.
[AB] What is Teoma doing that the IBM team couldnt do?
[JL] The Clever team identified that it was a better mousetrap for producing relevant search results, but thought it would take a server farm the size of the state of Texas to produce in real time. Teoma does it in a split second. Others questioned whether the technology would scale past 50 million document index. We're now at 2 billion. Remember that Teoma is a much younger technology than our competitors, so in some ways we're only now starting to see the power of it. And as it grows, social networking will continue to be at the heart of what makes Teoma different and special. "
So, Teoma is based on social networking theory, and it is building -- in essence -- a huge social network that allows Ask Jeeves to "identify the Web graph's expert hubs and authorities in real time." But no one opts in -- it's based on public information in blogs, articles, white papers, etc. And I, as an Ask Jeeve's user, don't have to state who I think are authoritative influences on my perspective of the world; Ask Jeeve's knows already.
Clearly the jury is out on the impact of social networking-based search, but activities by companies as diverse as Ask Jeeves, Eurekster, and Entopia (who I recently met with) suggest that the next generation of search performance is going to come from harnessing social network analysis in one way or another.