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SM2 flashcards backend using Go/gRPC

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### GOMEM

gRPC Golang backend service implementing SuperMemo 2 algorithm.

### Installation
Coming soon...

### Algorithm SM-2 
Algorithm SM-2 used in the computer-based variant of the SuperMemo method and involving the calculation of easiness factors for particular items:
1. Split the knowledge into smallest possible items.
2. With all items associate an E-Factor equal to 2.5.
3. Repeat items using the following intervals:
```
I(1):=1
I(2):=6
for n>2: I(n):=I(n-1)*EF
```
```
    where:
    I(n) - inter-repetition interval after the n-th repetition (in days),
    EF - E-Factor of a given item
```

If interval is a fraction, round it up to the nearest integer.
4. After each repetition assess the quality of repetition response in 0-5 grade scale:
```
    - 5 - perfect response
    - 4 - correct response after a hesitation
    - 3 - correct response recalled with serious difficulty
    - 2 - incorrect response; where the correct one seemed easy to recall
    - 1 - incorrect response; the correct one remembered
    - 0 - complete blackout.
```
5. After each repetition modify the E-Factor of the recently repeated item according to the formula:

```
EF':=EF+(0.1-(5-q)*(0.08+(5-q)*0.02))
```

```
    where:
    EF' - new value of the E-Factor,
    EF - old value of the E-Factor,
    q - quality of the response in the 0-5 grade scale.
    If EF is less than 1.3 then let EF be 1.3.
```
6. If the quality response was lower than 3 then start repetitions for the item from the beginning without changing the E-Factor (i.e. use intervals I(1), I(2) etc. as if the item was memorized anew).
7. After each repetition session of a given day repeat again all items that scored below four in the quality assessment. Continue the repetitions until all of these items score at least four.

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