Video Push System Keyword Filtration and Priority Segmentation
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Solution Overview
Problem
Current video recommendation systems fail to provide users with both high-definition and rich video resources due to the lack of rigorous video quality control and management in network video resources.
Innovation Solution
A video push method that filters electronic program information and network video information based on keyword data to generate a prioritized list, ensuring high-quality video recommendations by determining table identifiers, preset priorities, match definitions, and bandwidth-dependent video definitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If network video resources are expanded to increase resource richness, then video quantity increases, but video quality control deteriorates and definition decreases
Solution Approach 1:
The patent segments video resources into two distinct sources: electronic program information (from traditional television with guaranteed quality) and network video information (with rich variety but uncontrolled quality). By processing these segments separately through different filtration paths and then combining them, the system achieves both quality assurance and resource richness.
Solution Approach 2:
The patent introduces an intermediary filtration mechanism that processes video information from both sources before recommendation. This intermediary layer applies keyword-based filtering and definition-based screening to network video information, acting as a quality gatekeeper that enables rich resource selection while maintaining quality standards.
2Manufacturing precision
If traditional digital television resources are used to guarantee video definition, then video quality is maintained, but resource richness deteriorates
Solution Approach 1:
The patent merges two previously separate video resource systems: traditional electronic program information and network video information. By combining these sources and applying unified keyword-based filtration, the system achieves the quality assurance of traditional television with the resource variety of network platforms.
Solution Approach 2:
The patent creates a universal recommendation system that handles multiple video sources through a common processing framework. The same keyword filtration and priority-based selection mechanisms apply to both electronic program information and network video information, enabling the system to serve multiple functions while maintaining consistent quality standards.
3Manufacturing precision
If video resources are filtered by keyword information, then video quality is improved, but information loss increases
Solution Approach 1:
The patent performs preliminary keyword-based filtration on video information from both sources before the recommendation process. By pre-processing and tagging video information with keywords and priorities, the system enables efficient quality-based selection without losing important video content, as the filtration occurs at the information metadata level rather than eliminating actual video data.
Data Source
AI summary
The present application discloses a video push method, comprising: obtaining keyword information, and filtrating electronic program information according to the keyword information to obtain a first push information; filtrating network video information according to the keyword information to obtain a second push Information; generating a push list according to the first push information and the second push information, and pushing videos according to the push list. The application also discloses a video push device and a computer-readable storage medium. The present application completes the effective filtration of video data from two different sources being of television and network, and further completes the intelligent push of the video data, and can provide users with rich and high quality video resources firstly according to the retrieved keyword information.