IMS IPTV Personalized Advertisement Insertion via User Profile Segmentation
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Solution Overview
Problem
Current mobile TV systems and IMS-based IPTV systems lack the capability to provide personalized advertisements to individual users, as they typically broadcast the same content and advertisements to all users, failing to leverage user profiles for personalized content distribution.
Innovation Solution
A method is introduced in a content distribution system that utilizes an IMS-based IPTV system with an application server and content server to manage user profiles and preferences, allowing for personalized content and advertisement distribution to multiple terminals by requesting and forwarding user-specific preferences, enabling personalized content object redirection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If broadcast type TV systems are used to distribute content to multiple users, then the system complexity is reduced and ease of operation is improved, but the ability to provide personalized content to each user is lost
Solution Approach 1:
The patent segments the content distribution process by separating the common broadcast stream from personalized advertisement insertion. The system divides users into groups based on profile attributes and inserts different advertisements into the same video stream for different user groups, enabling personalization without requiring separate broadcast streams for each user.
Solution Approach 2:
The patent introduces an advertisement insertion point and advertisement selection logic as intermediaries between the broadcast stream and the user. These components act as mediators that receive the common video stream, select appropriate advertisements based on user profiles, and composite them into personalized content streams without modifying the original broadcast system architecture.
2Adaptability or versatility
If separate mobile TV channels are created to provide mobile-specific services, then adaptability to mobile devices is improved, but the capability to provide personalized content and advertisements is lost
Solution Approach 1:
The patent creates a universal advertisement personalization mechanism that works across both broadcast TV and mobile TV systems. The same profile-based advertisement selection logic and insertion points are used regardless of the delivery platform, allowing personalized content distribution without requiring separate system architectures for different device types.
3Adaptability or versatility
If user profiles are leveraged to create personalized advertisements, then personalization capability is improved, but the complexity of managing user profiles and selecting appropriate content increases
Solution Approach 1:
The patent performs preliminary actions by pre-defining user profiles with attributes and preferences before the actual content distribution. User profiles are established in advance with relevant characteristics, and the system pre-determines which advertisements are appropriate for which user profile types, reducing the complexity of real-time decision-making during content delivery.
Solution Approach 2:
The patent uses copying by creating simplified representations of user preferences and characteristics in the form of profile data structures. These profile copies contain the essential attributes needed for advertisement selection without requiring access to the complete user information systems, reducing the complexity of profile management while maintaining personalization capability.
Data Source
AI summary
A first terminal sends a message to an application server in order to redirect the same content object to a second terminal. The application server receives the message and forwards it with content object preference of the second user to the content server. The content server redirects distribution of the content object with the advertisement to the second terminal. The advertisement is personalized for the second user based on the content object preference of the second user. The advertisement for the first user is also personalized based on a content object preference of the first user. The first and second users enjoy the same content object with the different advertisement.