Context-Based Voice Ad Offers via Remote Platform Mediation
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Solution Overview
Problem
Voice assistants often provide users with limited or irrelevant information, making it difficult for users to access relevant advertisement offers for goods and services.
Innovation Solution
A system and method for providing context-based advertisement offers, where a user device receives a voice command, determines the context, and sends it to a remote advertisement platform to select relevant offers, which are then played back to the user, with user reactions being monitored and feedback sent to adjust the offer selection algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If voice assistants provide limited information to users, then the device complexity is reduced, but the relevance and effectiveness of advertisement offers deteriorates
Solution Approach 1:
An advertisement platform acts as an intermediary between the voice assistant and the user. The platform receives context information from the voice assistant, processes it to generate relevant advertisement offers, and delivers them to the user. This mediator handles the complex task of information matching and advertisement generation, allowing the voice assistant to remain simple while still providing relevant advertisements.
Solution Approach 2:
The system implements feedback loops where user reactions to advertisement offers are captured and fed back to the advertisement platform. This feedback mechanism allows the system to learn from user responses and continuously improve the relevance of future advertisement offers, addressing the information relevance problem through iterative optimization.
2Loss of information
If context-based advertisement offers are implemented, then the relevance of advertisements is improved, but the device complexity increases
Solution Approach 1:
The system is segmented into distinct functional components: the voice assistant that collects context information, the advertisement platform that processes information and generates offers, and the user device that delivers offers to users. This segmentation distributes complexity across multiple independent modules, making the overall system more manageable while achieving high advertisement relevance.
Solution Approach 2:
The advertisement platform performs preliminary processing of context information received from the voice assistant before generating advertisement offers. By pre-processing and structuring the context data in advance, the system reduces the computational complexity required at the user device and enables faster generation of relevant advertisements.
3Productivity
If user reactions are monitored in real-time, then the effectiveness of advertisement delivery is improved, but the loss of time for processing increases
Solution Approach 1:
Instead of continuous real-time monitoring, the system uses periodic sampling of user reactions at key moments (e.g., when a user explicitly responds to an advertisement offer). This periodic approach captures essential user feedback while minimizing processing overhead and time loss, balancing effectiveness with efficiency.
Data Source
AI summary
Methods and systems for providing context-based voice-related advertisement offers are provided. An example method may include receiving, via a sensor of a user device, a voice command of a user; determining, based partially on the voice command, a context; and sending, via the user device, the context to a remote advertisement platform, wherein the remote advertisement platform is configured to determine, based on the context, an advertisement offer for the user and send the advertisement offer to the user device, causing the user device to play back the advertisement offer; determining, via the sensor of the user device, a reaction of the user to the advertisement offer, and in response to the reaction of the user, providing, via the user device to the remote advertisement platform, information concerning the reaction of the user.


