Content Item Context Identification Using Metadata Tags
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Solution Overview
Problem
Current technologies lack effective methods for controlling and tracking content items across the internet, particularly in ensuring proper usage and revenue sharing, especially when content items are displayed on web pages without text, making it difficult to associate relevant advertisements and manage usage rights.
Innovation Solution
Implementing metadata tags, such as EXIF, IPTC, and XMP, on content items to track usage and enforce usage rights, and using web attributes to select relevant advertisements based on context information, allowing for the identification of web pages displaying content items and associating context information for targeted advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content items are displayed on web pages without text, then visual appeal and user engagement are improved, but the ability to identify context and select relevant advertisements deteriorates
Solution Approach 1:
The system performs preliminary actions by embedding metadata tags (EXIF, IPTC, XMP) into content items before they are displayed on web pages. This allows context information to be captured and stored in advance, so that even when the web page contains only images without text, the advertisement selection system can still access relevant context information from the metadata to select appropriate advertisements.
2Reliability
If metadata tags are embedded in content items, then tracking and revenue sharing are improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The patent leverages existing, widely-supported metadata standards (EXIF, IPTC, XMP) that are already embedded in many content items. By using these universal, multi-functional metadata tags that serve multiple purposes (tracking, context provision, revenue sharing), the system achieves reliable usage tracking without requiring a completely new complex infrastructure. The metadata standards are already processed by existing software, reducing implementation complexity.
3Measurement precision
If web attributes are used to select advertisements, then advertisement relevance is improved, but processing time and computational resources increase
Solution Approach 1:
The system extracts context information from metadata tags and web attributes in advance and stores it for quick retrieval. When an advertisement selection request is received, the system can quickly match pre-extracted context information with advertisement keywords rather than performing complex analysis in real-time. This preliminary processing of context information significantly reduces the time required for advertisement selection while maintaining high relevance.
Data Source
AI summary
Methods, systems, and apparatus, including computer program products, may be used for identifying context. Web attributes associated with a first instance of a content item displayed on a first web page may be identified along with a second web page displaying a second instance of the content item. Context information may be determined using the web attributes, and the context information may be associated with the second web page.