Research on Agent-Based Personalized Information Retrieval Technology

Personalized information retrieval technology is particularly crucial as an effective solution to the problem of information overload. Intelligent agent technology, with its intelligent, independent operation, and collaborative features, has opened up new avenues for personalized information search. This article explores personalized information retrieval methods using Agent technology, involving a description of the basic concepts and structure of Agent technology. A personalized information retrieval system framework with Agent as the core was proposed, and the roles and implementation strategies of user model Agent, search Agent, and information filtering Agent in the system were analyzed. In addition, the collaboration and communication system among multiple agents within the system, real-time updating and management of user preference models, and the application of semantic parsing and ontology technology were also studied.