Bi-directional Communication Channel for Online Advertising Feedback
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Solution Overview
Problem
Current online advertising systems lack bi-directional communication channels and flexible monetization schemes, making it difficult to effectively target audiences and provide feedback, leading to inefficient advertising and revenue models, especially in social network settings.
Innovation Solution
Establishing bi-directional communication channels between entities and targets to facilitate real-time, two-way communication, content delivery, and feedback, while implementing a flexible monetization scheme based on information exchange, audience volume, and connection relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional unidirectional advertising delivery is used, then advertising content can be delivered to users, but user feedback cannot be effectively provided to advertisers
Solution Approach 1:
The patent implements a bi-directional communication channel that enables feedback flow from users to advertisers. The system includes a feedback receiver component that captures user responses, comments, and interactions with advertising content, and transmits this information back to advertisers through the network. This resolves the contradiction by adding feedback capability without requiring complete system redesign, only extending the existing communication infrastructure.
Solution Approach 2:
The communication channel is designed to serve multiple functions: delivering advertising content from advertisers to users, and simultaneously transmitting user feedback from users to advertisers. This multi-functional channel eliminates the need for separate dedicated feedback infrastructure, reducing overall system complexity while enabling bidirectional information flow.
2Adaptability or versatility
If traditional revenue models are applied, then advertisers can pay for advertising delivery, but the models lack flexibility in social network settings
Solution Approach 1:
The revenue model transitions from static traditional models (cost per impression, cost per click) to a dynamic model that adapts based on multiple factors including user engagement metrics, feedback quality, connection relationships, and audience volume. The system calculates flexible pricing that adjusts in real-time based on the value and quality of interactions generated through the bi-directional communication channel.
Solution Approach 2:
The patent introduces multiple variable parameters for revenue calculation including audience volume, connection strength, user engagement level, and feedback quality. These parameters can be adjusted and weighted differently based on specific advertising campaigns and social network contexts, providing the adaptability needed for social network environments while maintaining productive revenue generation through diversified billing options.
3Measurement precision
If traditional advertising targeting is used, then advertisers can reach broad audiences, but they cannot effectively identify the most-wanted audiences
Solution Approach 1:
The system performs preliminary identification and ranking of potential audience members before advertising content is delivered. The audience identification component analyzes user profiles, connection relationships, and historical interaction data to pre-select and rank the most-wanted audiences for each advertiser, ensuring that advertising resources are directed to the most relevant users from the outset.
Solution Approach 2:
The patent introduces an intermediary audience identification and ranking mechanism that sits between advertisers and users. This intermediary component processes advertiser requirements, matches them with suitable user profiles using multiple criteria including connection strength and engagement history, and presents ranked lists of optimal targets. This mediator enables precise audience identification without requiring advertisers to directly analyze complex user data themselves.
Data Source
AI summary
Method, system, and programs for online advertising are disclosed. One or more targets associated with an entity are identified based on a first piece of information related to each target and a second piece of information related to the entity. The one or more targets are considered as likely being interested in content that can be made available by the entity. A connection is established between the entity and each identified target through a bi-directional communication channel. Activities between the entity and each target through the bi-directional communication channel are monitored. The entity delivers the content to an identified target through the bi-directional communication channel established between the entity and the identified target. In response to the delivered content, the identified target is able to provide a feedback to the entity through the bi-directional communication channel.