@natalieasis I think that a lot of researchers would be better off with additional "insider" industry data that isn't commonly or easily obtained. If you can get access to book manuscript submissions (for books) or screenplay submissions (for movies) from within the industry and cross-match those against what was in the zeitgeist for the current crop of 25-40 something aged book editors when they were reading in their formative teen years, you could better predict the next big thing. Watching manuscript purchases now will give you better lead times about what will be big a year to two years from now.
@natalieasis Statistical thermodynamics meets book recommendations, but what's driving the reaction or better, what sticks? and why?
, Aug 10 2016 on twitter.com
@ChrisAldrich BUT! If you think of advanced readers or "hipsters" - they don't care what's cool or big, they want to scratch their "itch".
, Aug 10 2016 on twitter.com
@natalieasis And difficultly, a lot of that data is in a very sparse long tail, usually with a lot of noise.
, Aug 10 2016 on twitter.com
Also on: @ChrisAldrich
@ChrisAldrich ... and here we come to niche, specific, user-tailored , very personal recommendations (which is my goal).
Natalia Mclean, Aug 10 2016 on twitter.com