Meta patents search method that uses learning objectives to find content
Meta has filed a patent application for a search system that matches user queries to specific learning objectives. The system converts the query into a digital format, finds related learning goals, and then retrieves content that matches those goals.
In the filing’s own words
A method of the subject technology includes receiving, by a search frontend or API, a query from a knowledge consumer, and processing the query via a processor. The processing includes generating embedding for the query, retrieving a plurality of learning objectives (LOs) relevant to the query based on the generated embeddings, and retrieving content relevant to the plurality of LOs. providing the content relevant to the plurality of LOs for display to the knowledge consumer. The knowledge consumer can be human user, a computer program or a machine.
What exactly they claim (claim 1)
1. A method, comprising: receiving, by a search frontend, a query from a knowledge consumer; processing the query via a processor, the processing including: generating embedding for the query; retrieving a plurality of learning objectives (LOs) relevant to the query based on the generated embeddings; retrieving content relevant to the plurality of LOs; and providing the content relevant to the plurality of LOs for display to the knowledge consumer.
Facts
- Company
- Meta (Meta Platforms Technologies, LLC)
- Official title
- USING LEARNING OBJECTIVES TO IMPROVE SEARCH RESULTS
- Publication number
- US20260300351A1
- Application number
- 19091502
- Filed
- Mar 26, 2025
- Published
- Oct 1, 2026
- Inventors
- 6
- Claims
- 20
Classified under
G06F 16/3347 Physics & computingG06F 16/9024 Physics & computingMore from Meta in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.