Information recommendation methods, devices, intelligent agents, equipment, and media based on large models

CN122309841APending Publication Date: 2026-06-30BEIJING BAIDU NETCOM SCI & TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING BAIDU NETCOM SCI & TECH CO LTD
Filing Date
2026-03-27
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies are insufficient to meet users' growing demands for efficiency and accuracy in acquiring resources when faced with massive amounts of user-generated and professionally created resources. Traditional methods of identifying resource sources have low accuracy.

Method used

By leveraging the semantic understanding and reasoning capabilities of large models, the publishing intent of resources to be recommended is identified. By analyzing the creators' personalized expression and information interaction needs, target objects are determined, and information recommendations are made based on the matching of the current resource preferences of candidate objects with the creators' information interaction needs.

Benefits of technology

It improves the accuracy of information recommendations, promotes efficient interaction between target audiences and creators, and enhances the efficiency of users acquiring resources and the user experience.

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Abstract

This disclosure provides a method, apparatus, intelligent agent, device, and medium for information recommendation based on a large model, relating to the field of artificial intelligence technology, particularly to the fields of information recommendation, deep learning, and intelligent interaction. The specific implementation of the information recommendation method includes: analyzing the resource to be recommended using a large model to obtain the publishing intent of the creator of the resource; in response to determining the publishing intent indicating the creator's personalized expression and information interaction needs, identifying a target object from multiple candidate objects; wherein the target object's current resource preferences match the creator's information interaction needs; and performing an information recommendation operation on the target object based on the resource to be recommended, so that an interaction operation can be performed between the target object and the creator.
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