Contextualization of generative language models based on entity resource identifiers
Topics: LLMO / GEO, Microsoft, Personalization
This Microsoft patent describes a method for contextualizing generative language models using entity resource identifiers extracted from user search logs. The technology creates a linked entity database from users’ search histories, which is then used to generate contextualized prompts for language models. This approach allows generative AI systems to provide more personalized responses based on a user’s search history without requiring extensive model retraining or exceeding context window limitations.
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