fsrs4anki-helper VS halflife-regression

You can set easy days via the FSRS4Anki Helper add-on: https://ankiweb.net/shared/info/759844606

And it also supports to postpone your backlog.

What was your retention before, using the old algorithm? If you don't know, download the Helper add-on, Shift + Left Mouse Click on Stats and look at the True Retention table. Make sure to select "Deck life" at the bottom of the window.

FSRS4Anki Helper (https://ankiweb.net/shared/info/759844606)

FSRS4Anki Helper is definitely the most popular Free add-on for Anki in recently. The author has researched and written a paper on spaced repetition and can customize Anki's schedule to optimize it for learning.

It's better to think about the mature card hit-rate you're aiming for. Most people will aim for about 90% hit rate on mature cards. There are some schedulers that let you play around with the goal hit-rate - IIRC, this one does that: https://ankiweb.net/shared/info/759844606. If you set a higher required mature hit-rate on a scheduler like this you'll see your cards more, which is what you seem to want.

FSRS4Anki Helper - AnkiWeb

I let my due cards build up sometimes, and my strategy when I come back is to sort them by lowest interval because I figure those are highest priority. I think the fsrs4anki-helper add on also has a reschedule function that might work for you, although I've never used it.

There is a patch now that ignores all notes with more than 10 cards: https://github.com/open-spaced-repetition/fsrs4anki-helper/issues/111

Use FSRS4Anki with FSRS4Anki Helper add-on. It has an option to set "Free Days" and then it's not scheduling cards on the days of the week you choose.

Install link: https://ankiweb.net/shared/info/759844606

5) HLR, Half-Life Regression, an algorithm developed by Duolingo for Duolingo. It, uhh...regresses half-life. Ok, I don't know how this one works, other than the fact that it has something similar to FSRS's memory Stability, called memory half-life.

While you’re at it, try to figure out why, despite the fact that SuperMemo-18 exists, SuperMemo-2 is still actively used, and even the most adventurous developers don’t venture beyond SuperMemo-5 or, at most, a simplified SuperMemo-8. Have a look at A Trainable Spaced Repetition Model for Language Learning, an algorithm published by the developers of Duolingo, which attempts to address the shortcomings of previous approaches. Try to replicate Duolingo’s key functionality, it’s quite feasible.