How is the RF matrix computed?
(Edward Douglas, Jul 31, 2010, 21:19:41) Question: I have not managed to find information on the functions of approximating the RF-matrix in SuperMemo Answer: The RF-matrix contains actual data/measurements, and thus is not an approximation. Naturally, this data can be considered the approximation of how your memory works: the more data you get, the closer you get to the real reflection of your memory. In simplest terms, RF matrix contains columns that reflect item difficulty, and rows that reflect the strenght of memory. For each entry SuperMemo collects repetition data and plots a forgetting curve, i.e. how much you forget with the passage of time. Each entry of the RF matrix corresponds with the point in which forgetting reaches the level defined by the forgetting index. This way, if you know how difficult an item is and how well it is remembered at the moment of the repetition (or how many repetitions it went through), we can predict (roughly) at which moment of time the probabilit
