Audio Feature Matching for Context-Aware Information Push
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Solution Overview
Problem
Existing information push services are inefficient, costly, and inaccurate, as they cannot ensure that pushed information is relevant to the user's location or needs.
Innovation Solution
A method and apparatus that utilize audio feature information from audio signals to determine the location and relevance of information, allowing for accurate and efficient information push by comparing predefined audio feature information with received audio feature information from client devices, and pushing relevant information only when there is a match.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If information is pushed to all users through communication networks, then information distribution coverage is improved, but information accuracy and relevance deteriorate
Solution Approach 1:
The patent applies local quality by making information push targeted to specific locations and user contexts. The server determines user location through GPS or base station triangulation, and only pushes information relevant to that specific location. This resolves the contradiction by ensuring broad coverage through network push capability while maintaining high accuracy through location-based filtering and relevance matching.
2Ease of operation
If information push is performed without considering user location and needs, then push service simplicity is improved, but push efficiency and cost-effectiveness deteriorate
Solution Approach 1:
The patent implements self-service by having user terminals automatically send location information and audio feature data to the server without manual intervention. The server automatically matches this data with predefined information criteria and performs push operations autonomously. This maintains operational simplicity for users while dramatically improving push efficiency through automated, context-aware information distribution.
3Measurement precision
If audio feature information processing is added to determine location and relevance, then information push accuracy is improved, but system complexity increases
Solution Approach 1:
The patent uses an intermediary approach by introducing a dedicated audio feature analysis module that processes audio signals and extracts location-relevant features. This module acts as a bridge between raw audio input and the information push decision-making process. The module converts complex audio analysis into simplified location and context data that the push system can easily utilize, thereby improving accuracy without proportionally increasing overall system complexity.
Data Source
AI summary
A method of providing information to a prospective user is performed at a server having one or more processors and memory storing programs to be executed by the processors, the method including receiving audio feature information and location information from a client device, wherein the audio feature information is extracted from an audio signal received by the client device and the location information identifies a current location of the client device; comparing predefined audio feature information with the received audio feature information and comparing predefined location information with the received location information; and pushing predefined information to the client device from the server if there is a match of both comparisons made at the server.