Hand-written ML

A naive-Bayes-style classifier trained on the user's own labels that deliberately under-calls; TF-IDF centroid plus cosine similarity for "find more like this"; a 64-bit difference hash and an 8×8 RGB colour signature answering two different duplicate questions.