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Eugen Tarnow


      Amazon’s Reverse Machine Learning Algorithm Annoys Customer

      Eugen G Tarnow  August 10 2017 09:27:24 AM
      By Eugen Tarnow, Ph.D.
      Avalon Business Systems, Inc.

      Machine Learning is still in its infancy at Amazon - at least when it comes to customer support.  

      I had ordered an Amazon certified lightning cord for my iPhone and never received it.  There was no way for me to communicate this issue - the only complaint one could file was to return the item.  Since I never received the item I could not return it.  

      This already raised my eyebrows: The quality of the Amazon customer support software is certainly below par if it does not allow the user to indicate that an item was never received.

      I decided to put up a review (below) and see if that would work.

      The Amazon machine learning algorithm rejected my review and foisted the responsibility of figuring out why it was rejected (I term this "Reverse Machine Learning") onto me, the customer.   Presumably it had to do with the ALL CAPS subject line.  But then it should have just said so.  And that rule would be too simple since some old people use just CAPS.

      Not a very attractive use of machine learning and reversing it on the customer - not a good idea.

      Amazon machine learning email:
      Amazon style=



      Your review could not be posted.

      Thanks for submitting a customer review on Amazon. Your review could not be posted to the website in its current form. While we appreciate your time and comments, reviews must adhere to the following guidelines:

      AmazonBasics Apple Certified Lightning to USB Cable - 3 Feet (0.9 Meters), Black ★  from Something on August 9, 2017


      I never received it and there is no way for me to communicate with Amazon to tell them



      We encourage you to revise your review and submit it again. A few common issues to keep in mind:
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      Reference ATVPDKIKX0DER-R21PPOAHIVZ9MG. (c) 2014 Amazon.com, Inc. or its affiliates. Amazon.com, 410 Terry Avenue N., Seattle, WA 98109-5210.

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