This is a software system designed to track how users and machines engage with information, such as documents and ideas, and the connections between them. It then uses this tracked activity to create visual maps, like knowledge graphs, to help users explore and organize data. Crucially, the patent specifically claims a system that displays distinct visual icons for concepts and indicators to recommend content, and can also generate ranked lists of documents for the user.
Why it matters: Filed before large language models (LLMs) became widely capable of automatically extracting, relating, and recommending concepts from diverse data. The underlying semantic understanding and recommendation logic, which was complex in 2021, is now significantly more accessible and powerful with current AI.
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