Wireless Access Point Attribute Generation via User Operations
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for obtaining wireless access point attribute information are inadequate, lacking detailed attributes such as security and commercial tenant information, which are essential for user selection, and require labor-intensive offline collection.
Innovation Solution
A method and device that automatically accumulate accurate access point attribute information through user-generated operations, assigning weight scores based on user submissions, providing comprehensive and reliable data for big data mining without offline collection efforts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed access point attribute information is collected offline, then information completeness is improved, but workload and time consumption increase significantly
Solution Approach 1:
The system enables users to automatically contribute access point attribute information through their own operations and interactions. Users implicitly provide information about access points they connect to or interact with, eliminating the need for dedicated offline collection efforts while maintaining information completeness.
Solution Approach 2:
The system implements a feedback mechanism where user operations on access points generate attribute information that is automatically collected and processed. This continuous feedback loop from user interactions to information accumulation resolves the contradiction by making information collection an automatic byproduct of normal system usage.
2Loss of information
If comprehensive access point attributes are collected, then data value for user selection is improved, but system complexity increases
Solution Approach 1:
The system leverages existing user operations and interactions with access points to automatically generate attribute information. Rather than implementing a complex dedicated collection system, the patent repurposes normal user behaviors to self-generate the required data, thereby maintaining information comprehensiveness while minimizing system complexity.
3Measurement precision
If accurate access point attribute information is accumulated, then user experience is improved, but automation requirements increase
Solution Approach 1:
The system uses feedback from actual user operations and interactions to continuously refine and verify access point attribute information. This feedback-driven approach ensures high accuracy while maintaining automation, as the system learns and improves from real-world usage patterns without requiring manual verification.
Data Source
AI summary
A method and device for generating access point attribute information about a wireless access point is provided. The method includes obtaining an attribute operation by a user on a wireless access point, and determining access point attribute information about the wireless access point according to the attribute operation. Based on an attribute operation submitted by UGC of a large number of users on a wireless access point, and then by determining access point attribute information about the wireless access point according to the attribute operation, such as an acceptation/correction/complaint operation on an attribute of an access point, lots of accurate and reliable access point attribute information can be automatically accumulated, without the work of collecting the access point attribute information offline in a labor-consuming and time-consuming manner, constructing, without any costs, an accurate, comprehensive and valuable vast-hotpot-information library for big data mining, and enhancing the user experience.