Personal Agent Ad Selection for More Relevant Chat Group Advertising
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies for providing advertisements in chat groups lack the ability to deliver more appropriate advertisements to users, necessitating improved methods for personalized and targeted advertising within these groups.
Innovation Solution
An information processing apparatus that identifies personal agents associated with users, makes inquiries to gather information for generating advertisement selection information, and provides this information to an advertisement provider to optimize ad delivery based on user attributes and group dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional advertisement provision technology is used in chat groups, then advertisement delivery is simple and fast, but the advertisement appropriateness and user relevance are insufficient
Solution Approach 1:
The system segments the chat group into multiple user clusters based on conversation roles and interaction patterns. Each cluster is analyzed separately to determine appropriate advertisement content, allowing personalized ad delivery while maintaining overall system efficiency.
Solution Approach 2:
An intermediary analysis layer is introduced between the advertisement delivery system and chat group users. This layer analyzes conversation histories, identifies user clusters, and determines advertisement appropriateness without requiring direct complex interactions between the ad system and individual users.
2Measurement precision
If personalized advertisement information is collected from multiple users, then advertisement targeting accuracy improves, but information processing time and computational load increase
Solution Approach 1:
User profile information and conversation patterns are pre-processed and stored in advance. When advertisement delivery is needed, the system retrieves pre-analyzed data rather than processing raw conversation histories in real-time, significantly reducing processing time while maintaining targeting accuracy.
Solution Approach 2:
The system automatically analyzes conversation histories and identifies user clusters without requiring manual intervention. The advertisement delivery system self-services by autonomously determining which users belong to which clusters and what advertisements are appropriate, eliminating time-consuming manual analysis.
Data Source
AI summary
An information processing apparatus according to the present application includes an identification unit, an inquiry unit, a generation unit, and a providing unit. The identification unit identifies a plurality of personal agents each being associated with a corresponding user among a plurality of users who are grouped. The inquiry unit makes an inquiry to the plurality of personal agents that are identified by the identification unit about information that is used to provide an advertisement to a group corresponding to the plurality of users. The generation unit generates advertisement selection information that is information that is used to select the advertisement by using pieces of information that are provided by the plurality of personal agents in response to the inquiry that is made by the inquiry unit. The providing unit provides the advertisement selection information that is generated by the generation unit to an advertisement provider.