Personalized VoIP Ad Distribution via Pre-Selected Topics
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Solution Overview
Problem
Existing methods for personalizing advertisements during real-time conversations over VoIP conversations are not effective in maximizing revenue from advertisements, leading to suboptimal cross-financing of connection fees.
Innovation Solution
A method and system that allow a first network client to pre-select message topics based on the personal interests of a second network client, with a database of available topics associated with pre-defined messages, and display the selected message topic to the second client, enabling user-driven selection and increased advertisement efficacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated content analysis is used to generate advertisements during real-time conversations, then advertisement personalization is improved, but system complexity and processing time increase
Solution Approach 1:
The system pre-selects message topics from a database before the real-time conversation occurs. By preparing and pre-processing advertisement content in advance based on available information about the callee, the system reduces the complexity of real-time processing while maintaining personalization effectiveness.
Solution Approach 2:
The advertisement system is divided into separate functional modules: a database of message topics, a pre-selection mechanism, a transmission component, and a display component. This segmentation allows each module to operate independently, reducing overall system complexity while achieving personalized advertising.
2Adaptability or versatility
If user selection interface for message topics is provided, then advertisement relevance is improved, but operation time and user burden increase
Solution Approach 1:
Instead of presenting all available message topics to the user for selection, the system pre-selects a subset of relevant topics based on available information about the callee. This partial action reduces the time and effort required for user selection while maintaining advertisement relevance.
Solution Approach 2:
The system automatically performs the topic selection process based on pre-defined criteria and available user information, reducing the manual intervention required. The user interface simply facilitates the selection rather than requiring comprehensive user input, thereby reducing operation time.
3Productivity
If pre-selection of message topics is performed from database, then processing speed is improved, but message topic quality may decrease
Solution Approach 1:
The system incorporates feedback mechanisms where user selections and interactions with pre-selected topics are recorded and used to refine future pre-selection processes. This feedback loop ensures that automated pre-selection improves in accuracy and quality over time, balancing speed with precision.
Solution Approach 2:
The pre-selection process uses multiple parameters and criteria (user profiles, conversation context, topic databases) that can be adjusted and optimized. By changing and refining these parameters, the system maintains high message topic quality while preserving processing speed advantages.
Data Source
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AI summary
Method and system for distributing personalized messages to one or more network clients participating in a real-time conversation over a network, the method comprising: providing a database of available message topics, wherein each message topic is associated with one or more pre-defined messages; preselecting a plurality of message topics from the database of available message topics; transmitting the pre-selected message topics to a first network client participating in the real-time conversation; recording at the first network client a selection of one message topic from the pre-selected message topics; transmitting a message associated with the selected message topic to a second network client participating in the real-time conversation with the first network client, wherein the second network client is different from the first network client; displaying the message associated with the selected message topic at the second network client.