Voice-Agent Communication for Preference-Based Advertisement Targeting
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Solution Overview
Problem
Existing advertisement methods fail to consider potential user preferences, leading to ineffective advertisement presentation.
Innovation Solution
A communication system that collects user data to analyze preferences and uses a voice agent to deliver targeted advertisements at appropriate times, arousing interest through guided dialogue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisements are presented based on explicit user requests only, then the advertisement delivery process is simple, but the advertisement effectiveness is low because potential user preferences are not considered
Solution Approach 1:
The system performs preliminary preference analysis by collecting user data (search history, browsing behavior, purchase history) and analyzing potential preferences before advertisements are presented. This advance preparation enables the system to identify potential customers and determine optimal advertisement timing, thereby improving advertisement effectiveness without relying solely on explicit user requests
Solution Approach 2:
The system continuously collects user data and feedback (search queries, browsing patterns, purchase behavior) to dynamically update user preference profiles. This feedback mechanism allows the system to refine its understanding of user preferences over time, improving the accuracy of potential customer identification and advertisement timing determination
2Reliability
If advertisements are presented continuously to users, then the advertisement exposure is maximized, but the user experience deteriorates and advertisement effectiveness decreases
Solution Approach 1:
The system determines optimal advertisement presentation timing in advance by analyzing user preferences and behavior patterns. It identifies specific time points when users are most likely to be receptive to advertisements based on their historical behavior, rather than presenting advertisements continuously or at arbitrary intervals
Solution Approach 2:
The system presents advertisements at periodically determined optimal intervals based on user preference analysis. Rather than continuous presentation, it uses periodic assessments of user behavior to determine when advertisement presentation is most effective, creating a rhythm of advertisement delivery that aligns with user engagement patterns
3Reliability
If targeted advertisements are presented to potential customers, then advertisement effectiveness is improved, but the system complexity increases due to preference analysis requirements
Solution Approach 1:
The system introduces a preference analysis unit as an intermediary component that processes raw user data (search history, browsing behavior, purchase history) and transforms it into meaningful preference profiles. This intermediary layer enables targeted advertisement presentation by bridging the gap between raw data collection and advertisement delivery, managing system complexity through modular architecture
Data Source
AI summary
The present disclosure describes a communication system that includes communication circuitry and processing circuitry. The processing circuitry is configured to collect a piece of user information of a user via the communication circuitry, analyze the collected piece of user information to obtain a user preference of the user, and identify a piece of advertisement as targeting the user according to the user preference. The processing circuitry is further configured to generate a guidance message based on reason of promotion information stored in association with the piece of advertisement, transmit the guidance message to a client terminal of the user, and transmit the piece of advertisement to the client terminal. The guidance message and the piece of advertisement are to be output as vocalized speeches of a voice agent of the client terminal.