Live Broadcast Room Recommendations Using Content-Matched Labels
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Solution Overview
Problem
Existing live broadcasting systems fail to recommend live broadcasting rooms that align with the user's interests, leading to low viewing engagement due to a lack of correlation between recommended and currently viewed content.
Innovation Solution
A method and apparatus that display a live broadcasting room recommendation identifier on a live broadcasting page when a preset condition is met, using a recommendation content label determined by target objects in the current room, and upon triggering, display a live broadcasting room recommendation interface with identifiers for similar rooms, ensuring the recommended rooms match the user's interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If live broadcasting rooms are recommended without considering content correlation, then the quantity of recommended rooms increases, but user engagement and satisfaction decrease
Solution Approach 1:
The patent applies local quality by recommending live broadcasting rooms based on specific content categories (e.g., beauty, health, food) rather than uniformly recommending all rooms. The recommendation system identifies target objects in the current live broadcasting room and recommends rooms with matching content labels, creating localized, context-relevant recommendations that improve user engagement while maintaining manageable quantities
Solution Approach 2:
The system changes the recommendation parameter from generic room identification to content-based matching using display object sets and category labels. By transforming the recommendation criterion from random or popularity-based to content-correlation-based, the system improves reliability of recommendations without necessarily increasing the total quantity recommended
2Reliability
If content-based recommendation filtering is implemented, then user engagement improves, but system complexity increases
Solution Approach 1:
The patent segments the live broadcasting ecosystem into distinct content categories (beauty, health, food, etc.) with corresponding display object sets. Each category has predefined labels and matching rules, breaking down the complex recommendation task into manageable segments that can be processed independently, thereby reducing overall system complexity while maintaining engagement
Solution Approach 2:
The system performs preliminary action by pre-defining display object sets and category labels for different content types before the recommendation process. This advance preparation of classification frameworks and matching rules simplifies the real-time recommendation logic, reducing computational complexity during actual operation while preserving content-based matching capabilities
Data Source
AI summary
The present disclosure provides a method of recommending a live broadcasting room, an apparatus, a device and a medium. The method includes: displaying a live broadcasting room recommendation identifier on a live broadcasting page of a current live broadcasting room in response to the current live broadcasting room satisfying a preset condition, a recommendation content label displayed in the live broadcasting room recommendation identifier being determined according to a target object in the current live broadcasting room; displaying a live broadcasting room recommendation interface corresponding to the recommendation content label in response to a triggering operation on the live broadcasting room recommendation identifier, the live broadcasting room recommendation interface including live broadcasting room identifiers of a plurality of recommended live broadcasting rooms, a display object set in the plurality of recommended live broadcasting rooms matching with the recommendation content label.