Personal TV Ad Insertion via User Profile Matching
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Solution Overview
Problem
Traditional TV broadcasting lacks the ability to deliver targeted advertising based on individual viewer preferences, as it typically broadcasts advertisements to a general audience without considering personal profiles or content metadata.
Innovation Solution
A method for dynamically distributing advertising content within a personal TV system's playlist by matching user profiles and metadata, using a set-top-box to select and insert advertising items based on various distribution schemes, such as fixed number, count-per-count ratio, time-per-time ratio, and count-per-time ratio, ensuring relevance and optimal placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional TV broadcasting is used to deliver advertising, then the advertising can be broadcast to a general audience, but the advertising cannot be targeted to individual viewers based on their preferences
Solution Approach 1:
The advertising delivery system is segmented into multiple components: user profile storage, content metadata storage, matching mechanism, and distribution schemes. This segmentation allows the system to handle personalized advertising targeting while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system dynamically adjusts advertising placement based on user profiles, content metadata, and distribution schemes. The matching process is dynamic, adapting to different users and content items in real-time, enabling personalized advertising without requiring a completely new system architecture.
2Adaptability or versatility
If advertising items are dynamically distributed within a playlist, then personalized advertising delivery is enabled, but the playlist management complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-storing user profiles and content metadata before the actual advertising distribution. This pre-processing allows the matching mechanism to operate efficiently during playback without adding significant complexity to the playlist management process.
Solution Approach 2:
An intermediary matching mechanism is introduced between the user profile/content metadata and the advertising distribution. This intermediary layer handles the complex matching logic separately, simplifying the overall playlist management while enabling personalized advertising delivery.
3Reliability
If multiple distribution schemes are implemented for advertising placement, then advertising relevance and engagement are improved, but the system complexity increases
Solution Approach 1:
The system implements a universal matching mechanism that can handle multiple distribution schemes (fixed number, count-per-count ratio, time-per-time ratio, count-per-time ratio) through a single unified approach. This multi-functionality allows the system to provide relevant advertising while avoiding the complexity of managing separate systems for each distribution method.
Data Source
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AI summary
A method of distributing second multi-media content items into a list having at least one first multi-media content item is provided. The list of the first multi-media content item is to be reproduced on a personal TV system. A playlist of first multi-media content items is selected from a plurality of first multi-media content items available on different TV channels. Potential second multi-media content items from a plurality of available second multi-media content items are determined by matching information from the first and second multi-media content items. At least one of the determined second multi-media content items are selected based on a user profile, metadata of the first and second multi- media content items and/or a distribution scheme for distributing the second multi-media content items into the playlist of the first multi-media content items.