Mobile Device Keyword Recognition for Targeted Ad Delivery
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Solution Overview
Problem
Mobile wireless communications devices face challenges in delivering targeted advertisements to users of unknown demographics, as they are used by a wide range of people, unlike traditional advertising venues which cater to specific demographics.
Innovation Solution
A communications system that includes an advertising server and mobile wireless communications devices equipped with processors, audio transducers, and wireless transceivers, which recognize keywords in voice communications to send targeted advertisements based on user interests, allowing for the presentation of ads during or after voice communications, and storing ad history to optimize ad delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile wireless communications devices deliver advertisements to users of unknown demographics, then the device can reach a wide audience, but the advertisements cannot be effectively targeted to user interests
Solution Approach 1:
The patent introduces speech recognition technology as an intermediary that extracts meaningful information (keywords) from voice communications. This mediator bridges the gap between the device's lack of demographic knowledge and the need for targeted advertising by deriving user interests directly from spoken content during calls.
Solution Approach 2:
The patent replaces traditional demographic-based targeting mechanisms (which rely on user profiles, location data, or device characteristics) with a speech analysis-based system. Instead of using mechanical or statistical methods to infer user characteristics, the system directly analyzes voice communication content to determine advertising relevance.
2Loss of information
If keywords are recognized in real-time during voice communications to deliver targeted ads, then ad relevance to user interests is improved, but the system complexity increases
Solution Approach 1:
The mobile device performs speech recognition and keyword extraction independently during voice communications, without requiring external analysis systems. The device itself analyzes its own communication data to generate advertising targets, making the system self-sufficient and reducing overall system complexity.
Solution Approach 2:
The system performs speech recognition and keyword identification during the voice communication itself, before the advertising delivery phase. This preliminary analysis allows the system to prepare targeted advertisements in advance, smoothing the subsequent ad delivery process and reducing real-time complexity.
3Productivity
If advertisements are delivered during or after voice communications based on recognized keywords, then user engagement with ads is improved, but the risk of repetitive or unwanted ads increases
Solution Approach 1:
The system uses recognized keywords from voice communications as feedback to dynamically select and deliver relevant advertisements. This feedback mechanism ensures that ads are based on actual user speech content rather than generic targeting, reducing repetitiveness while maintaining engagement through relevance.
Data Source
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AI summary
A communications system may include an advertising server for sending advertisement messages based upon keywords. The communications system may further include at least one mobile wireless communications device having a processor cooperating with at least one audio transducer and a wireless transceiver for recognizing keywords in voice communications. The processor may cooperate with the advertising server to receive advertisement messages therefrom based upon the keywords.