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"Baynote launched in 2006 with a plan to provide businesses with better feedback about their online users' activity than mere engagement-based and historic activity models.  It's the intent that Baynote is after, and it has created a prediction model that businesses can use in order to determine the optimal content to be placed front and center for site visitors.\nExpanding on this idea of intent-based predictions, Baynote is now  launching its Collective Intelligence Platform, which can be applied across multiple channels.  This combines six new features, the expansion of six APIs, and existing Baynote services.  The result is the Intelligence Platform, which offers email recommendations (think targeted content coming to your email), mobile recommendations, social search, and Insights.\nBreaking these new features down a little further, the first two offerings look to provide businesses with ways in which to expand the reach of their brands\u2014one through an age-old marketing tactic that's been infused with optimized recommendations, and another through a minimized viewing field and browsing capabilities that make us wonder how we ever recovered from the first bubble burst.\nBaynote's Social Search is another area in which the service's intent-based model can return targeted results.  For this particular feature, Baynote integrates data from Endeca, Mercado, Fast, and ATG to name a few.  It then recalibrates the data to provide its recommendations to you.  Baynote Insights is the central location where you can manage and track your own results with using Baynote's service.\nWhile Baynote isn't regurgitating your site's historical visitor behavior, it is looking to a number of third-party resources for things like merchandise behavior, in addition to the legwork it's already done.  In theory this may not sound like a revolutionary way in which to infer useful recommendations, but Baynote is looking to more directly integrate its collection of stats and services in order to drive more traffic to your site and keep users around once they get there.\nGiven the privacy issues related to Web-browsing, a service such as Baynote's could be considered a rather non-personal way in which to obtain effective recommendations.  I've always thought that a service that's got concepts aligned with Baynote's could provide some real value, if implemented properly.  Grayboxx used a similar method and applied it to search results while Strands is quickly moving into the recommendation realms of sectors other than music (such as personal finance and merchandise)."^^<http://www.w3.org/2001/XMLSchema#string>
<http://mashable.com/2008/06/17/baynote-collective-intelligence-platform/>