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Personalized Spaced Repetition Algorithm

Design an advanced spaced repetition algorithm that adapts to individual learning curves, factoring in difficulty, retention rates, and optimal review timing with formal mathematical foundations.

4.5 ETH
Reward
6
Submissions
3/1/2026
Deadline

Requirements

  • Formal mathematical model with proofs
  • Outperform SM-2 on standard benchmarks
  • Support difficulty adaptation per learner
  • Include simulation framework for parameter tuning

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