Live Video Push Matching From Viewing History for Shorter Search Paths
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Solution Overview
Problem
Users need to actively search and view push objects in a live object list, resulting in a long path to find the desired information.
Innovation Solution
A push processing method that displays push information on a live interface based on historical viewed videos, allowing users to efficiently identify and access related push objects in current live videos by determining first and second push objects through historical viewing behavior and matching identifiers or image features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users actively search and view push objects in a live object list, then users can find push objects, but the search path becomes long and operation complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically determining the first push object from historical viewed videos and proactively pushing it to users in the current live video before users need to search. This eliminates the need for users to manually search through the live object list, shortening the search path while ensuring users can find the push object.
Solution Approach 2:
The patent introduces an intermediary mechanism (the push object determination and display system) that mediates between the user's viewing history and the current live video content. This intermediary automatically matches historical viewing data with current push objects and presents them to users, eliminating the need for direct user searching and reducing operational complexity.
2Adaptability or versatility
If the system pushes push objects based on historical viewed videos, then user interest matching improves, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing historical viewed videos, determining user interests, and selecting appropriate push objects without requiring complex manual intervention. The system serves itself by using its own historical data to make intelligent push decisions, improving user interest matching while managing complexity through automation rather than manual processes.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user viewing behavior in historical videos and using this feedback to determine and adjust push object selections. This feedback loop enables the system to adapt to user interests dynamically, improving versatility while managing complexity through automated data processing rather than manual analysis.
3Speed
If push information is displayed immediately on the live interface, then user access speed improves, but information overload may occur
Solution Approach 1:
The system extracts only the most relevant push object information from historical viewed videos and displays it prominently on the live interface. By taking out only the essential first push object that best matches user interests rather than displaying all possible push objects, the system improves access speed while preventing information overload through selective extraction of key data.
Data Source
AI summary
The embodiments of the present disclosure relate to a push processing method and apparatus, and a device and a medium. The method comprises: if candidate push objects associated with the current live broadcast video include a second push object, which matches a first push object, displaying push information in a live broadcast interface of the current live broadcast video, wherein the push information is used for prompting that the current live broadcast video includes the second push object associated with the first push object, and the first push object is determined according to historical viewed videos; and if the push information meets a preset trigger condition, displaying, in the live broadcast interface, a push page for the second push object.