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.
Human-in-the-loop machine learning (HITL) merges machine learning with the irreplaceable element of human intelligence to build an important sector of artificial intelligence. Human-in-the-loop machine learning is a cyclical process, both beginning and ending with human knowledge.
A typical HITL process looks like –