Nstein: Searching for a Better Search
November 8, 2008
Nstein Technologies [http://www.nstein.com/en/] digital publishing specialist Diane Burley presented a webinar titled “Searching … For a better Search!” on November 6, 2008. The point was to teach media companies to evaluate how search works on their web sites, address the pros and cons of search strategies like link lists or search boxes, and show how sites might be losing readers. Ms. Burley reviewed case studies to illustrate the differences between active and passive search; how to use semantic analysis to improve search; useable ideas for improving stickiness; and real-world examples of media companies using internal and external search. Has returned to its content processing roots?
Jessica Bratcher, November 7, 2008
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3 Responses to “Nstein: Searching for a Better Search”
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I presume Stephen you meant to say “Has [Nstein] returned to its content processing roots?
My answer is ‘maybe’ – like so many of their contemporaries they are covering all the bases. It is also interesting that they are doing webinars on, effectively, SEO, for their own product….
BTW, Nstein has just announced a new contract with Independent News and Media (INM), an Irish media outfit owned by Anthony O’Reilly former CEO of Heinz. The commentary is that INM is looking to leverage their content because the traditional revenue streams are drying up…..
See here, for example http://www.siliconrepublic.com/news/article/11744/
Bye, Barry Mahon
Bye, Barry Mahon,
Thanks for the post. I’m delighted you are monitoring Nstein and sharing your wisdom with my one or two readers.
Stephen Arnold, November 8, 2008
Llove the blog and thanks for covering the webinar.
The goal was to equate how people search in the physical world to the digital one. Has Nstein returned to its roots? it never left it! Nstein was on the forefront of semantic analysis long before it was “sexy” (okay, moderately popular??) but had to find a way to weave the power of linguistic text mining into all aspects of the content supply chain. And so begat the XML repository and the CMS solutions. Text mining is built right into both modules — at the point of ingestion, at the point of editing and at the point of delivery.
In this talk, i was actually showing how metadata could be exposed to provide site-guided navigation to readers, which is very much akin to the wayfinding clues architects provide pedestrians.