I am hoping for someone to point me in the right direction (examples, info) 
on how best to handle the need for some processor heavy computations that 
might best be executed with C++ math libraries.

example scenario pseudocode:

1. application user clicks "give me 10 movies to watch" button after 
entering age, iq, time of day,  and how much time he/she has to watch. 
(some post data needed as calculation parameters)
2. application pulls some historical data from database: an array of 
[person id, age, iq, movie watched, time watched, movie length, rating user 
gave] -- say a million data points in an array
3. application then needs to apply a sophisticated math model to all data 
points and includes other hard-coded parameters. 
4. assume after watching one movie, all the hard-coded parameters change as 
a side effect, so the algorithm should rank all movies in likelihood loved 
from 1 to n, choose the top ranked movie for user, and then iterate for the 
next 9, re-applying the math model

is this best handled by forking a child_process? use node-ffi? wrap a c++ 
object that can handle the math and pass the parameters?

thanks a million

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