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This pull request implements a Q-learning algorithm to enhance the functionality of recommending books based on user performance. It integrates with
books.py
,interactions.py
, andschema.prisma
to provide personalized learning paths for students.Key changes include:
interactions.py
and a background ML task.books.py
to fetch user scores and sort books based on performance.schema.prisma
to include necessary models for tracking interactions and scores.