Leveraging Human-in-the-loop Machine Learning process to increase e-commerce conversion rates

Machine Learning algorithms can hugely impact the sector of e-commerce by categorizing and recommending products for search queries based upon the information provided in the product details and descriptions (i.e. size, color, shape, manufacturer, etc.).

However, for the algorithms to continue evolving, and to ensure that only the most relevant search results are being seen by shoppers, a human element must exist within the process.