Jason Calacanis And The No Free Lunch Theorem Do you have a search site? Submit it free to the internet's best search industry directory. » Click Here Search Engines Google, Yahoo, MSN... Search Marketing Marketing, Budget, Planning... Pay Per Click Bid, Price, Quality... SEO Companies Optimization, Manage, Company... SEO Tools Track, Search, Create... Analytics Statistics, Counter... » Submit your site for FREE « More... Get Your Site Submitted for Free in the World's Largest B2B Directory! Email Address: * URL: * *Indicates Mandatory Field Terms & Conditions Titan Quest Forum Nintendo Wii Graphics Forum Halo 3 Forum Mac Software By: Barry Welford 2007-06-25 Jason Calacanis has recently launched Mahalo, which is a new search vehicle. It is based on human evaluation of websites and has been the subject of some criticism. For example as Michael Gray (Graywolf) recounts four noted SEO experts gave Jason a difficult time in a recent podcast. The others were Brian of Scoreboard Media, Allen Stern of Center Networks, and Andy Beard. The SEO experts seem to have greater faith in computer-based search engines. They're all based on algorithms rather than human beings. For example Google boasts about the strength of its PageRank algorithm. Even ASK seems to accept the power of this argument and has been featuring its algorithm in recent publicity. That would certainly seem to be the majority view at the moment. Jason Calacanis might find some scientific comfort among those attending the Seventh Metaheuristics International Conference taking place in Montreal, June 25-29, 2007. Optimizers will be meeting to discuss the best methodologies for optimization. Apparently one of the fundamentals is the No Free Lunch Theorem. This was first stated by David H. Wolpert and William G. Macready in 1995. Wikipedia has the following explanation: Some computational problems are solved by searching for good solutions in a space of candidate solutions. A description of how to repeatedly select candidate solutions for evaluation is called a search algorithm. On a particular problem, different search algorithms may obtain different results, but over all problems, they are indistinguishable. It follows that if an algorithm achieves superior results on some problems, it must pay with inferiority on other problems. In this sense there is no free lunch for search algorithms. That may be something that Google and ASK would prefer is left hidden in academia. However search is more about marketing than technology. Perhaps Jason Calacanis can use the No Free Lunch Theorem in his efforts to further publicize Mahalo. Comments Tag: Jason Calacanis, Mahalo, SEO Add to Del.icio.us | Digg | Reddit | Furl Have a bookmark! - About the Author: Barry Welford, President of SMM Strategic Marketing Montreal works with business owners and senior management on Internet Marketing strategy and action plans to grow their companies. He is a moderator at the Cre8asite Forums and writes on current issues on the Internet and on the Mobile Web in three blogs, BPWrap, StayGoLinks and The Other Bloke's Blog.

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