The Transformational Power of Recommendation
Recommendation engines are revolutionizing how customers buy and employees work.
Wikipedia defines recommendation engines (and platforms and systems) as “a subclass of information filtering system that seeks to predict the ‘rating’ or ‘preference’ a user would give to an item.”1 But as a tool, technology, and digital platform, recommendation engines are far more intriguing and important than this definition suggests.
In data-driven markets, the most effective competitors reliably offer the most effective advice. When predictive analytics are repackaged and repurposed as recommendations, they transform how people perceive, experience, and exercise choice. The most ...
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