In my post “The Wisdom of Crowds, Friends, and Experts,” I used Amazon, Facebook and Pandora respectively as examples of three techniques used by the recommendation engines increasingly provided by websites, social networks and mobile apps.
Richard Jarvis commented that my assessment of the data quality associated with these techniques actually needed to look at metadata, data and information, as well as knowledge management. “For crowd-sourced data, we’re assessing quality based on the first-order value rather than the immediate downstream usability. We’re not questioning the accuracy of Amazon’s assertion that customers who purchased X also purchased Y. Rather, we’re interested in the relevance of that information. In terms of knowledge management, I would describe this as broadening data quality to embrace information and knowledge quality.”
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