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following up on Robyn Dawes's article, "The Robust Beauty of Improper Linear Models in Decision Making" - hugely important reading! - consider a recommender system:

• identify simple (input) criteria for each (output) decision
• assign simple weights (+1, 0, -1, whatever, but keep it simple)
• add up the weights selected for each decision
• sort into descending order and recommend the top few!

... a la SAnTA = "Structured Analytic Technique Advisor", the MITRE JavaScript browser-based "simplest recommender system that could possibly work" ... (^_^)

– z 2016-07-12 11:37 UTC</div>