Video Template Pushing Using Creation and Viewing Heat
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Solution Overview
Problem
The process of pushing video editing templates in creation-oriented content ecosystems is complex due to richer and multi-level content ecology, requiring accurate calculation of heat based on diverse dimensions, and handling of homogeneous templates, which existing methods struggle to address.
Innovation Solution
A method for pushing video templates that considers both creation and publishing ends by using candidate template description information sets, characterized by first and second heat metrics, to accurately determine and present target video editing templates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video template pushing is implemented only at the video publishing end, then the process is simple, but it cannot meet the needs of creation-oriented content ecosystems where users create videos at the video creation end
Solution Approach 1:
The template pushing process is segmented into two distinct parts: template recommendation at the video creation end (based on creation heat) and template publishing at the video publishing end (based on publishing heat). This segmentation allows the system to adapt to creation-oriented ecosystems while managing complexity through division of functions.
Solution Approach 2:
Template description information serves as an intermediary between the video creation end and video publishing end. The server generates candidate template description information sets that bridge both ends, enabling coordinated template pushing across the ecosystem without requiring direct complex interaction between creation and publishing processes.
2Measurement precision
If single-dimension heat metrics are used for template selection, then the selection process is simple, but the accuracy of template selection is insufficient for complex content ecosystems
Solution Approach 1:
The system transitions from single-dimension heat metrics to multi-dimensional heat evaluation by introducing both creation heat (from video creation end) and publishing heat (from video publishing end). This dimensional expansion improves template selection accuracy to reflect the complex realities of creation-oriented content ecosystems.
Solution Approach 2:
The system changes the parameters used for template evaluation from单一的publishing heat to a combination of creation heat and publishing heat. By adjusting and combining multiple heat parameters, the system achieves more accurate template selection that accounts for both creation and publishing stage dynamics.
3Adaptability or versatility
If all candidate templates are pushed to users, then template availability is high, but information overload occurs and user experience deteriorates
Solution Approach 1:
Instead of pushing all available templates, the system applies partial action by selectively pushing only candidate templates that meet specific heat thresholds and relevance criteria. This partial pushing approach maintains high template availability for qualified templates while avoiding information overload from irrelevant or low-quality templates.
Solution Approach 2:
The system applies local quality by tailoring the template recommendation to each user's specific context, behavior patterns, and preferences. Rather than a uniform pushing approach, the system adjusts template selection and presentation based on local user characteristics, improving ease of operation while maintaining availability.
Data Source
AI summary
The present disclosure relates to a method, apparatus, apparatus, and medium for pushing a video template. First heat of a candidate video editing template represents creation heat of the candidate video editing template at a video creation end, and second heat represents viewing heat of a target video, that is created by using the candidate video editing template, at a video publishing end. Heat of the candidate video editing template may be determined based on heat in an entire link between the video creation end and the video publishing end. Moreover, a target video editing template is more accurately determined, and the target video editing template is presented to the client for users to use to create and publish a video.