Information Pushing System Using Neural Network Models
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Solution Overview
Problem
Existing methods for pushing information to users are not personalized, as they provide all information to all users without considering individual user preferences or interests, leading to irrelevant content being displayed.
Innovation Solution
A method and apparatus that determine target information based on user information and object information using a pre-established information determination model, such as an artificial neural network or deep learning model, to represent corresponding relationships and push relevant information to the user's terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all information is provided to all users without personalization, then the completeness of information coverage is improved, but the relevance of content to individual users deteriorates
Solution Approach 1:
The patent segments information push services into two distinct modes: a first mode that provides comprehensive information coverage to all users, and a second mode that delivers personalized content based on user profiles and preferences. This segmentation allows the system to simultaneously achieve complete information coverage and high content relevance by directing different users to appropriate modes based on their individual characteristics
Solution Approach 2:
The patent applies local quality by customizing information content according to specific user characteristics. User profiles store individual preferences, behavior patterns, and interest tags, allowing the system to tailor information delivery to each user's local needs and preferences rather than applying a uniform approach to all users
2Manufacturing precision
If personalized information pushing is implemented using machine learning models, then the relevance of content to users is improved, but the system complexity deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-establishing user profiles that store user information, preferences, and behavior patterns before actual information pushing occurs. The system pre-processes user data and creates structured profiles that can be quickly queried and matched with information content, avoiding the need for complex real-time analysis during information delivery
Solution Approach 2:
The patent introduces user profiles as an intermediary layer between the information source and the user. These profiles act as a mediator that stores and organizes user characteristics, enabling the system to match information with users without requiring direct complex interactions between the information pushing mechanism and user preferences
Data Source
AI summary
Embodiments of the present application disclose a method and an apparatus for pushing information. One embodiment of the method comprises: in response to the receipt of an information push request sent by a user by means of a terminal, determining object information about at least one object associated with user information included in the information push request; determining target push information according to the user information, the object information, and a pre-established information determination model, the information determination model being used for characterizing a correlation between user information, object information, and target push information; and pushing the target push information to the terminal for the user to view by means of the terminal.