Targeted Content Delivery via Video Traffic Metadata Analysis
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Solution Overview
Problem
Current technologies lack the ability to effectively monitor and analyze Internet video traffic for targeted content delivery, such as advertising, based on user behavior and interests.
Innovation Solution
Deployment of deep packet inspection (DPI) technology to monitor and process metadata associated with Internet video streams, inferring user demographics and behavioral profiles to select and deliver targeted content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If deep packet inspection technology is deployed to monitor and analyze Internet video traffic, then targeted content delivery capability is improved, but system complexity and processing overhead increase
Solution Approach 1:
The system segments video traffic monitoring into distinct functional modules: metadata extraction component that pulls data from video streams, user profile generation component that processes extracted metadata, and content delivery component that utilizes profiles for targeted delivery. This modular segmentation reduces overall system complexity while maintaining comprehensive targeted content delivery capability.
Solution Approach 2:
The system performs preliminary actions by pre-generating and storing user profiles based on extracted video consumption metadata before actual content delivery occurs. These pre-computed profiles containing user preferences, behavior patterns, and demographic information are readily available when content needs to be delivered, eliminating the need for real-time analysis during content delivery and reducing processing overhead.
2Loss of information
If metadata from video streams is monitored and processed to infer user profiles, then content personalization is improved, but data processing time and computational resources increase
Solution Approach 1:
User profiles are generated and updated in advance based on video consumption metadata extraction and analysis. The system continuously monitors video stream metadata, extracts relevant user behavior information, and maintains up-to-date user profiles without requiring real-time processing during content delivery. This preliminary profile generation minimizes processing time when content personalization is needed.
Solution Approach 2:
The system creates simplified copies of user behavior data in the form of structured user profiles that capture essential preferences and patterns. These profile copies serve as efficient representations of complex video consumption metadata, enabling rapid content matching and delivery decisions without repeatedly processing the original detailed metadata.
3Measurement precision
If user profiles are established based on video consumption patterns, then advertising relevance is improved, but user privacy concerns increase
Solution Approach 1:
The system extracts only the necessary metadata elements from video streams that are sufficient for creating accurate user profiles, such as video genre preferences, viewing time patterns, and content categories. By selectively extracting only the essential information needed for advertising relevance rather than monitoring all video data, the system achieves precise targeting while minimizing privacy intrusion.
Data Source
AI summary
A system and related method for targeted content delivery based on Internet video traffic analysis, including one or more of the following: a packet-based communication network in communication with a terminal device, the packet-based communication network 1) collecting and comparing traffic flows between the terminal device and one or more video content sources to known protocol signatures, 2) identifying match(es), 3) identifying, monitoring and analyzing a flow sequence of video content information for the match(es), 4) identifying and extracting associated metadata, and 5) harmonizing the metadata; a behavior analyzer that formulates a behavioral profile of a user of the terminal device who requests and receives the video content information; and a targeted content delivery infrastructure that establishes behavioral profile data regarding the user and delivers targeted content to the user.