Methods and systems for automated generation of personalized messages

This invention describes a computer system that automatically creates personalized messages. It works by gathering information from the internet, extracting key facts and events, and storing them in a structured knowledge graph. Using this information, the system identifies specific individuals who are likely to be interested in a message, based on their profile and the stored knowledge, and then generates a tailored message for them.

Why it matters: Filed in 2022, this invention predates the widespread availability and advanced capabilities of large language models (LLMs). LLMs now significantly simplify the implementation of the content generation system and the machine learning for entity/event extraction, making the core components much more accessible and powerful.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedHeavy software system, machine learning, knowledge graph

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