Contextual Video Content Serving via Third-Party Web Data Extraction
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Solution Overview
Problem
Existing video delivery systems face challenges in accurately determining the topic of videos, leading to ineffective serving of content segments that fail to convey their intended messages due to insufficient data from Web page content.
Innovation Solution
A method and system that extract contextual information from third-party Web pages with embedded videos, using a Web crawler to identify relevant data and compare it to criteria based on the video content, to select and serve relevant content segments, such as advertisements, improving their relevance and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If content segments are served based on Web page content analysis, then the serving process is simple, but the accuracy of determining video topic is insufficient
Solution Approach 1:
The patent combines multiple information sources (Web page content, video metadata, and third-party commentary) into a unified topic determination process. By merging these diverse data sources, the system achieves more accurate video topic identification while maintaining a manageable serving process through integrated analysis.
Solution Approach 2:
The patent introduces third-party commentary as an intermediary information source that bridges the gap between simple Web page analysis and accurate video topic determination. The commentary serves as a mediator that provides additional contextual information about video content without requiring complex direct analysis of the video itself.
2Reliability
If contextual information from third-party Web pages is extracted and processed, then the relevance of served content segments is improved, but the system complexity increases
Solution Approach 1:
The patent performs preliminary extraction and processing of contextual information from third-party Web pages in advance. By pre-processing this information and storing it in a structured format, the system reduces the complexity of real-time processing while maintaining high content segment relevance through readily available contextual data.
Solution Approach 2:
The patent extracts only the necessary contextual information from third-party Web pages rather than processing entire pages. By selectively extracting relevant commentary and metadata, the system improves content segment relevance while minimizing the amount of data that needs to be processed, thereby controlling system complexity.
3Measurement precision
If comprehensive contextual information is collected from multiple sources, then the accuracy of content segment selection is improved, but the processing time increases
Solution Approach 1:
The patent collects and processes comprehensive contextual information from multiple sources in advance, before the actual content segment selection is needed. By performing this data gathering and initial processing beforehand, the system achieves high selection accuracy while minimizing real-time processing time delays.
Solution Approach 2:
The patent collects comprehensive contextual information (excessive action) from multiple third-party sources to ensure high content segment selection accuracy. By gathering more information than strictly necessary and processing it preliminarily, the system guarantees accurate selection while managing processing time through the preliminary action approach.
Data Source
AI summary
A method, implemented on a processor, provides content segments to a first resource, the first resource having a first video. The method includes identifying and extracting contextual information from one or more second resources, the second resources having one or more associated second videos; processing the extracted contextual information in relation to a set of criteria, the set of criteria based on a content of the first video; selecting one or more content segments based on the set of criteria; and providing, to the first resource one or more of the selected content segments to be displayed with the first video.