Smart Device Resource Pushing via Behavior Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current smart devices require users to manually input keywords and filter through numerous resources, leading to low efficiency and high costs in acquiring relevant information.
Innovation Solution
A resource pushing method for smart devices that acquires and pushes relevant resources based on preset rules, including news hotspots, user behavior, keywords, identity, and subscription information, eliminating the need for manual input and filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually input keywords and filter resources one by one, then users can acquire needed resources, but the efficiency is extremely low and the cost is high
Solution Approach 1:
The system performs preliminary actions by proactively acquiring and filtering resources based on user profiles, behavior information, and news hotspots before users need them. The smart device automatically determines pushing resources according to preset rules, including user identity, subscription information, and historical behavior, so that resources are ready and filtered when presented to the user, eliminating the need for manual searching and filtering.
2Ease of operation
If users manually search for resources, then users can find needed content, but the operation complexity and cost increase
Solution Approach 1:
The system implements self-service by automatically performing resource acquisition, filtering, and pushing without requiring user intervention. The smart device autonomously determines pushing resources based on preset rules that consider user identity, subscription information, behavior patterns, and news hotspots. The system self-adapts to user needs by analyzing behavior information and automatically optimizing resource selection, thereby simplifying user operations while managing the complexity internally.
3Productivity
If the system pushes resources actively based on preset rules, then resource exposure increases and efficiency improves, but the system complexity increases
Solution Approach 1:
The system segments the resource pushing function into distinct modular components: user profile management, behavior information analysis, news hotspot detection, resource acquisition, filtering logic, and pushing execution. Each module handles a specific aspect of the pushing process independently, making the overall complex system manageable through clear separation of concerns. The preset rules are divided into multiple determinable factors that can be processed separately and combined to determine the final pushing resources.
Data Source
AI summary
The present disclosure provides a resource pushing method, a device and a storage medium for a smart device, the method includes: acquiring a first pushing resource according to a preset rule, where the first pushing resource is used by the smart device to interact with a user, pushing the first pushing resource to the user. In the solution, relevant resources are actively acquired according to behavior information of the user, triggering and hotspots, and are pushed to the user, thereby saving the cost in resource querying by the user, and increasing the exposure of platform resources.