IPTV Advertising Delivery System Using Group-Based Multicast

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Solution Overview

Problem

Existing advertising delivery systems in IPTV lack the ability to provide personalized advertisements to individual users based on their profiles, resulting in inefficient use of bandwidth and irrelevant ad placement.

Innovation Solution

The system divides end user devices into advertising groups based on profile data, using percentile rankings to determine whether to multicast or unicast advertising data, optimizing bandwidth usage and inserting targeted ads into specific channels at the IPTV server or STB.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If personalized advertising data is delivered to each individual user, then advertising effectiveness and revenue are improved, but bandwidth consumption and system complexity increase

Engineering Contradiction:

Improveadvertising effectivenessVSAvoidbandwidth consumption

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The system segments users into advertising groups based on profile data and percentile rankings, delivering customized ad streams to each group rather than individual users. This reduces bandwidth consumption while maintaining personalized advertising effectiveness.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of user segmentation from individual-level to group-level based on percentile rankings, allowing efficient bandwidth utilization while delivering personalized advertising content to appropriate user segments.

Inventive Principle:

Principle #35Parameter changes

2Loss of energy

If advertising data is multicast to large groups, then bandwidth usage is reduced, but advertising personalization and relevance deteriorate

Engineering Contradiction:

Improvebandwidth usageVSAvoidadvertising personalization

Core Design Contradiction:

Loss of energyVSAdaptability or versatility

Solution Approach 1:

Users are segmented into multiple advertising groups based on profile data and percentile rankings, allowing the system to deliver personalized advertising content to each segment through targeted multicast streams rather than a single generic stream.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different advertising content is delivered to different user groups based on their specific profile characteristics and percentile rankings, ensuring that each group receives advertising content locally optimized for their interests and demographics.

Inventive Principle:

Principle #3Local quality

3Adaptability or versatility

If advertising data is unicast to individual users, then advertising personalization is maximized, but bandwidth consumption and system complexity increase

Engineering Contradiction:

Improveadvertising personalizationVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments users into advertising groups and uses percentile rankings to determine delivery methods, balancing personalization with system complexity by avoiding full unicast implementation while maintaining effective advertising delivery.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system applies partial personalization through group-based multicast for most users, with unicast reserved for specific cases, achieving sufficient advertising effectiveness without the full complexity of complete individual customization.

Inventive Principle:

Principle #16Partial or excessive action

4Device complexity

If advertising data is broadcast to general population, then system simplicity is maintained, but advertising effectiveness and target precision deteriorate

Engineering Contradiction:

Improvesystem simplicityVSAvoidadvertising effectiveness

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The system implements segmentation into advertising groups based on profile data and percentile rankings, providing targeted advertising delivery that improves effectiveness while maintaining reasonable system simplicity through automated grouping mechanisms.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes from general population broadcasting to parameter-based user segmentation using percentile rankings and profile data, significantly improving advertising effectiveness while maintaining system simplicity through automated classification.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS7814521B2System and method for delivering personalized advertising data

Publication Date: 2010.10.12 SBC KNOWLEDGE VENTURES LP

AI summary

A method is disclosed for distributing advertising data in an internet protocol television (IPTV) system, the method including dividing a plurality of end user devices in the IPTV system into K advertising groups; multicasting J advertising data multicast groups to end user devices in J advertising groups having a percentile ranking above or equal to a predetermined percentile ranking; and unicasting advertising data channels for actively viewed IPTV channels being viewed by other end users.