Cold Start Solution

When no FAQ exists for training, the cold start solution uses our word vector (Word2vec) training module in the Docker image to learn about the vocabulary in the search results. Then it uses our provided query pipeline to combine Solr and document vector similarity scores at query time.

We suggest capturing signals from document clicks, likes, and downloads. These signals form Q&A pairs. After cumulating at least 3,000 Q&A pairs, that feedback can be used as training data for the FAQ solution.