Making fashion recommendations with human-in-the-loop machine learning

author: Brad Klingenberg, Stitch Fix, Inc.
published: Oct. 12, 2016,   recorded: August 2016,   views: 1306
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Description

Most recommendation algorithms produce results without human intervention. Especially in hard-to-quantify domains like fashion combining algorithms with expert human curation can make recommendations more effective. But it can also complicate traditional approaches to training and evaluating algorithms. In this talk I will share lessons from making personalized fashion recommendations with humans in the loop at Stitch Fix, where we commit to our recommendations through the physical delivery of merchandise to clients.

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