Podcast 95 - Recommendations: Human vs machine

Smart recommendation systems are commonplace across consumer sites like Amazon, Netflix and Facebook. But how do they compare with recommendations from a trusted human?

Written by Ross Garner
Published 15 May 2018
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Podcast 95 - Recommendations: Human vs machine

Smart recommendation systems are commonplace across consumer sites like Amazon, Netflix and Facebook. But how do they compare with recommendations from a trusted human?

In this episode of the Good Practice Podcast, Ross Garner and Owen are joined by Filtered's Marc Zao-Sanders to discuss some of the difficulties around machine recommendations and their place in learning.

The Tim Harford blog that Ross suggested (literally a list of recommendations) can be found at: http://timharford.com/2018/04/understanding-algorithms/

If you're interested in 'hardening', check out: https://www.rhs.org.uk/Advice/profile?PID=386

The Washington Post article Owen discussed is at: https://www.washingtonpost.com/news/speaking-of-science/wp/2018/05/04/one-space-between-each-sentence-they-said-science-just-proved-them-wrong-2

And Ross' Guardian story about Sainsbury's can be found at: https://www.theguardian.com/business/2018/may/06/rotten-results-sainburys-drops-project-to-halve-food-waste

About the author

Ross Garner

Ross Garner

Head of Learning Experience
Ross has been working in L&D for seven years and he heads up the instructional design team at Emerald Works. In 2019 he completed a Masters in Digital Education and was named Learning Technologies’ Learning Designer of the Year. He is also one of the hosts of the Good Practice Podcast.

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