Voice-Controlled Device Ad Targeting via Speech Recognition
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Solution Overview
Problem
Existing advertising technologies fail to provide highly targeted and personalized advertisements that account for user interactions across multiple devices, content consumption, and behavioral data, leading to ineffective ad delivery and user engagement.
Innovation Solution
A voice-controlled device and remote computing resources work together to select and provide targeted advertisements based on user interactions, content consumption, behavioral data, geo-location, and demographic information, using speech recognition and natural language understanding to generate and deliver personalized audio, video, or interactive ads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional advertising methods are used, then ad delivery is simple and straightforward, but ad relevance and user engagement are low
Solution Approach 1:
The patent segments advertising delivery into multiple specialized modules: speech recognition module for voice input processing, natural language understanding module for intent extraction, user profile module for behavioral data storage, and ad selection module for personalized ad delivery. Each module handles a specific aspect of the advertising process, improving targeting precision while managing system complexity through functional decomposition.
Solution Approach 2:
The voice-controlled device serves multiple functions: it acts as both a consumer electronics device for speech processing and as an advertising delivery platform. The same speech recognition and natural language understanding capabilities used for general voice commands are also utilized to process advertising-related voice interactions, creating a universal system that handles both user commands and ad delivery efficiently.
2Adaptability or versatility
If personalized advertisements are implemented using multiple data sources, then ad relevance improves, but data processing complexity increases
Solution Approach 1:
The patent introduces a natural language understanding module as an intermediary between speech recognition and ad selection. This mediator translates raw speech data into structured user intent and preferences, which then guide the ad selection process. By inserting this intermediary layer, the system can handle multiple data sources (speech inputs, behavioral data, contextual information) without requiring complex direct integration between all components.
Solution Approach 2:
The system performs preliminary actions by continuously building and updating user profiles based on observed behavioral data before ad delivery occurs. User preferences, viewing habits, and contextual information are pre-processed and stored in the user profile module, so when ad selection is needed, the system can quickly retrieve relevant pre-analyzed data rather than processing raw data in real-time, reducing processing complexity.
3Ease of operation
If speech recognition and natural language understanding are integrated, then user interaction capability improves, but processing time increases
Solution Approach 1:
The patent implements partial processing by having the speech recognition module continuously run and process speech inputs in the background even when no specific ad interaction is occurring. This allows the system to maintain readiness for user commands without waiting for explicit triggers, reducing perceived processing time while still performing comprehensive speech analysis when needed.
Data Source
AI summary
Techniques for selecting and providing highly targeted, interactive advertisements in a personalized manner. These advertisements may be audio-only advertisements, video-only advertisements, or advertisements that include both audio and video. As described below, advertisements may be selected and/or generated for a particular user based on an array of factors, including the user's interactions with multiple different client devices (e.g., a tablet computing device, a voice-controlled device, a television etc.), as well as additional behavior of the user. In some instances, the client devices may include a voice-controlled device that the user interacts with via voice commands and that provides audible content for output to the user.