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 GoodPractice Podcast, Ross G and Owen are joined by Filtered's Marc Zao-Sanders to discuss some of the difficulties around machine recommendations and their place in learning.
You can get the latest episode of the podcast using one of the following links.
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