Cold Start Solution

When no training data exists to use Supervised job, the cold start solution uses general pre-trained Deep Learning models or provides a possibility to train custom word embeddings for specific domains.

Over time, we suggest capturing signals from document clicks, likes, and downloads. These signals can be used to construct training dataset. After cumulating at least 3000 pairs, that feedback can be used as training data for the Supervised solution.