The curator starts by presenting the engine with a basic set of keywords. CIThread scours the Web for relevant content, much like a search engine does. Then the curator combs through the results to make decisions about what to publish, what to promote and what to throw away.
As those decisions are made, the engine analyzes the content to identify patterns. It then applies that learning to delivering a better quality of source content. Connections to popular content management systems make it possible to automatically publish content to a website and even syndicate it to Twitter and Facebook without leaving the CIThread dashboard.
There’s intelligence on the front end, too. CIThread can also tie in to Web analytics engines to fold audience behavior into its decision-making. For example, it can analyze content that generates a lot of views or clicks and deliver more source material just like it to the curator. All of these factors can be weighted and varied via a dashboard.
I like the idea of providing automated assistance to human curators…