The 265 DriverTags (psychological content codes) placed on television shows were distilled by machine learning and other data science techniques from all the words in the English language. The recommender using the RMT system achieved 18% average conversion to loyal viewership of a series never watched before, and users gave it over a 90% satisfaction score. Netflix website indicates a 70% satisfaction score for their method, which we feel is the second-best method the industry has.

Here is a one-minute video demonstration of one form of the system we call dlitr (pronounced “delighter”).

Here’s a slide deck on the subject: