This invention describes a system that helps people discover learning paths. When you search for a topic, it shows you other users who are associated with that topic. If you select a user, the system then displays a 'learning chain' for that user, which is a sequence of related topics they are learning or have learned. The core of the system is a database that stores all the topics, users, and their specific learning chains and associations.
Why it matters: Filed before large language models could infer complex topic relationships and generate personalized learning paths from vast datasets. The manual data curation implied in 2020 is now largely automatable.
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