An Adaptive Information Presentation Method Based on Knowledge Graph and Context

This paper presents an adaptive information presentation system and method based on knowledge graphs and context within the realm of adaptive information presentation technology. The method utilizes natural language processing technology to analyze the user's input question in order to extract the semantic and key information. As users query specific keywords or topics repeatedly, the method processes the responses considering the user's context to deliver more precise information that aligns with the user's information requirements. With an increase in the frequency of user queries, the user's question history is organized into multiple sessions, offering personalized answers based on the user's inquiries within the session. Experimental results demonstrate that the proposed method achieves a balance between universality and personalized service in question-answering systems, ensuring problem-solving continuity and enhancing user satisfaction.