Game Recommendation Interface for Fair Appreciation Distribution
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Solution Overview
Problem
Current multiplayer competitive games face challenges in objectively reflecting player performance and achieving a fair appreciation distribution, as players often appreciate based on personal feelings rather than objective game interactions, leading to uneven appreciation and low mutual appreciation rates.
Innovation Solution
A method and apparatus for processing recommendation information that generates a graphical user interface displaying recommended players for appreciation based on preset interaction conditions, such as high interaction frequency and duration, allowing players to objectively select and appreciate teammates who have contributed significantly during the game.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If players appreciate based on personal feelings, then players can express their subjective preferences, but the appreciation distribution becomes uneven and mutual appreciation rate decreases
Solution Approach 1:
The system pre-calculates and recommends players who meet preset interaction conditions before the appreciation operation occurs. By preparing the recommendation list in advance based on objective game data, the system guides players toward more accurate appreciation choices without requiring complex real-time analysis, thus improving both ease of operation and measurement precision
Solution Approach 2:
The patent introduces an intermediary recommendation mechanism between the player's subjective feeling and the final appreciation action. This intermediary filters and organizes potential appreciation targets based on objective interaction data, bridging the gap between subjective preference and objective performance evaluation, thereby resolving the contradiction between ease of operation and measurement precision
2Measurement precision
If no recommendation system is used, then the interface remains simple, but players cannot objectively identify high-contributing teammates
Solution Approach 1:
The system pre-processes game interaction data to identify players meeting preset conditions before displaying them in the recommendation interface. This preliminary action organizes complex data into manageable recommendation lists, enabling objective performance evaluation without overwhelming the interface with raw data, thus resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent segments the complex task of evaluating all teammates into a focused recommendation list showing only those meeting specific interaction conditions. By dividing the appreciation task into targeted recommendations rather than presenting all possible targets, the system achieves precise performance evaluation while keeping the interface structure manageable and organized
Data Source
AI summary
A method for processing recommendation information, an electronic device and a non-volatile computer-readable storage medium storage medium are provided. The method includes: displaying a recommendation and appreciation interface for at least one second game player on a graphical user interface, wherein a game interaction between the at least one second game player and a first game player corresponding to a first terminal device meets a preset interaction condition; in response to an appreciation operation on the second game player in the recommendation and appreciation interface, sending first appreciation information to a second terminal device corresponding to the second game player.