CoreBooks Web

Patent on “Long Tail” for automated content authorship. FAQ As the video shows, I am working on reference books, reports and educational titles (not fiction or literature). The “algorithms” depend on the genre. The most advanced use parametric, non-parametric as well as Bayesian econometrics, graph theory, and meta analysis (mostly coupled with some specialized computational linguistics and editorial rules that are required within certain genres) — each piece is rather straight forward; the combination allows complexity. In terms of IT or programming languages, there is no rigidity to this – again it depends on the genre. If animation is the goal, then code is written to write MEL scripts, etc., which can automate Maya, which can in turn automate rendering, lights, etc., via macros. This works well, but for only certain aspects of that genre. For more detailed discussions, here is the patent link: www.google.com Some titles are 98 to 100 percent computer automated (eg business titles, crosswords, etc.). For health titles, only the format editing and production side is automated. The text in the health books was written by medical professionals and edited by a professional editor; the computer expedited formatting using about 50 odd routines (the preface, chapter intros, glossaries, indexes, headings, margins, etc.); highlights are made to sources generally not known to internet-averse readers or medical practitioners (designed for medical libraries with internet training …

24 Responses to “Patent on “Long Tail” for automated content authorship.”