ebisu VS fsrs4anki

I really wish something like https://github.com/fasiha/ebisu becomes the norm. That is, the idea of fitting the cards to your time (by prioritising) rather than you having to do everything there software wants.

The only bit missing is some algorithm deciding how often to introduce new cards based on your historical data.

It seems from the description that FSRS still puts an exact review date on each card? This feature was pretty much the reason why I stopped using Anki. I'm not in college and not doing exams, I just want to practice when I feel like it, maybe with large breaks between sessions, and not feel like there's a backlog building up.

I think Anki is a great app, I just wish there was an algorithm that would just randomly sample cards (with probability proportional to how urgently you need to review it) rather than put a review date on them. Something like https://github.com/fasiha/ebisu but available as an Anki plugin (if that supports custom algorithms on mobile yet?) or a similar app with an open format for cards.

"GoodNotes uses the Ebisu algorithm for its spaced repetition feature. Ebisu uses a Bayesian model to estimate the probability of remembering a given flashcard, which allows faster adaptation to changes in recall ability. Both algorithms have been shown to be effective in practice, you can learn more about Ebisu at https://fasiha.github.io/ebisu/ "

This is a fundamental issue with SM-2 and how ease factors work. I personally have my Anki settings set up such that there is no ease factor penalty, though I will be working on porting Ebisu v3 to Anki's v3 scheduler once it's ready, which should finally allow us to have proper adaptive ease factors for cards (on all platforms) without the ease hell problem.

For note-taking specifically, I've tried everything from plain old pen and paper to more modern solutions like Evernote and emacs (if you can call that modern), but nothing I've come across really beats Anki.

Although its main selling point is as a program for flashcards with spaced repetition, it comes with pretty much all the features of a good note-taking app, like tags, easy to organize, synchronization across devices (you can set up your own server), good interface for searching through your notes (which are stored in an Sqlite db if that matters), and yes, LaTeX. Not only that, it's also highly extendable with third-party plugins, so if there are features that you miss chances are there's a plugin for it. In other words, you can use it perfectly fine just taking notes. However, where it really shines is in all of this in combination the spaced repetition algorithm, which is now on steroids with FSRS[1][2]. The downside is that for this to be effective for the things you want to memorize, you'll have to write your notes to be suitable for a flashcard, but if you do it consistently you'll soon notice that you can store most of your notes in your head (needless to say, any student would greatly benefit from this). Now, if that's too much work, you can still just use the scheduling to have it remind you of your notes. Either way, even as someone who sometimes goes out of his way to shoehorn everything into Emacs, I can't see a reason not to use anki for note-taking.

[1]https://github.com/open-spaced-repetition/fsrs4anki/blob/mai...

[2]https://www.youtube.com/watch?v=OqRLqVRyIzc

I recommend the new algorithm of Anki: https://github.com/open-spaced-repetition/fsrs4anki

It would be nice if you could report this on Github. You can do it here: https://github.com/open-spaced-repetition/fsrs4anki/issues/n...

As for randomly getting a lot of reviews, honestly, no idea. You should submit an issue on github: https://github.com/open-spaced-repetition/fsrs4anki/issues/new/choose

u/PoppingWebster, here's a guide on how to use built-in FSRS in the latest version of Anki: https://github.com/open-spaced-repetition/fsrs4anki/blob/main/docs/tutorial.md

You can watch AnKing's video and read this guide.

Detailed info here: https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-mechanism-of-optimization

use FSRS tho

More information on the new scheduling algorithm:

FWIW I've been using it for the last 10 days and it's finally resolved some of my pain points about having to trial-and-error adjust the old scheduling algorithm, since the content of each deck can greatly affect what the optimal retention is. Now you can just retrain the weights for each deck you have and it will adapt appropriately. The paper is also definitely worth reading if you want to see some rigorous analysis of large-scale real-world spaced repetition science.

[0] https://github.com/open-spaced-repetition/fsrs4anki

[1] https://dl.acm.org/doi/10.1145/3534678.3539081?cid=996605471...

[1] https://github.com/open-spaced-repetition/fsrs4anki/wiki/The...