Audio Recognition Targeted Ad Delivery System
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Solution Overview
Problem
Current systems lack effective methods to deliver promotional content based on non-textual user experiences, such as audio recognition, which limits targeted advertising and user engagement.
Innovation Solution
A self-service, bid-based system that uses audio recognition to categorize user experiences into aggregate categories, combining this with bidding priority information to select and deliver promotional content to users on hand-held devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If audio recognition technology is implemented for targeted ad delivery, then user engagement and campaign effectiveness are improved, but system complexity and processing requirements increase
Solution Approach 1:
The patent segments the audio processing workflow into distinct components: audio capture by the device, feature extraction and initial processing, transmission to server, and final recognition and ad selection. This segmentation allows each component to be optimized independently, managing system complexity while maintaining campaign effectiveness.
Solution Approach 2:
The patent introduces an intermediary server that acts as a mediator between the user device and the ad delivery system. The server receives audio features from devices, performs complex recognition operations, and returns targeted ads, thereby offloading processing complexity from individual devices while maintaining effective targeted delivery.
2Ease of operation
If continuous audio recognition is performed on hand-held devices, then user experience is enhanced, but battery consumption and bandwidth usage increase
Solution Approach 1:
The patent implements partial audio recognition by having the device perform only feature extraction and transmission of audio features to the server, rather than continuous full-scale recognition processing. This partial action approach enhances user experience through timely ad delivery while significantly reducing battery consumption compared to continuous local processing.
Solution Approach 2:
The system enables self-service by allowing devices to autonomously capture audio, extract features, and transmit them without requiring continuous user initiation. The automated process enhances user experience while managing energy consumption through efficient, event-driven operation rather than constant processing.
Data Source
AI summary
An audio recognition system provides for delivery of promotional content to its user. A user interface device, locally or with the assistance of a network-connected server, performs recognition of audio in response to queries. Recognition can be through a method such as processing features extracted from the audio. Audio can comprise recorded music, singing or humming, instrumental music, vocal music, spoken voice, or other recognizable types of audio. Campaign managers provide promotional content for delivery in response to audio recognized in queries.