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Recall's spaced repetition algorithm is based on cognitive science principles

2025-08-25 1.8 K
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Digital Practices for Scientific Memory

Recall's spaced repetition system strictly follows the Ebbinghaus forgetting curve theory and dynamically adjusts the review cycle through an algorithm. Its technical realization contains three key dimensions:

  • Personalized Memory Model: Constructing exclusive forgetting curves based on users' historical answer rates
  • Intelligent Question Generation: Automatically convert saved content into fill-in-the-blank/choice/short-answer questions
  • adaptive scheduling: Optimize review time points based on memory strength prediction algorithms

Actual application data shows that users who use the function for 10 minutes a day have an information retention rate of 78% after 30 days, much higher than the 42% of traditional note-taking methods.The system is especially suitable for legal, medical, and other professional fields that require precise memorization.

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