Lessons on recommendation systems
Did you know that Amazon makes 20-30% of it’s sales through recommendations? This and other valuable lessons on building recommendation systems can be found here.
Choice quotes:
‘… find ways to collect as much user input as possible without being disruptive. People don’t train systems, they try to benefit themselves, but this is the best kind of training data.’
‘Many problems including shopping, targeted advertising, dating, finding events, etc. can be framed as recommendation problems.’
‘…when thinking about recommendations or targeted content/advertising, the most important to think about is all the different things that people do on your site anyway: tagging, buying, titling, clicking, determine how much of that you can capture, and try some basic, quick-running algorithms.’
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