Game Play Evaluation Server for Content Filtering
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Solution Overview
Problem
The increasing volume of information and data in network-based information processing systems makes it difficult for users to accurately access valuable content, leading to a challenge in providing efficient access to desired information and enhancing user experience.
Innovation Solution
A content providing method and system that involves a server obtaining play data from client terminals, evaluating game plays based on predetermined criteria, and distributing moving image data of high-value game plays to client terminals, allowing users to efficiently access and enjoy valuable content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If all user game play data is collected and stored on the server, then the amount of available content increases, but it becomes difficult for users to accurately access valuable content from the enormous amount of contents
Solution Approach 1:
The server performs preliminary evaluation of game play data before storage, assigning evaluation values to identify high-quality content in advance. This allows the system to pre-sort and pre-categorize contents so that when users access the server, they can quickly find valuable content without being overwhelmed by the total volume, directly resolving the contradiction between large content quantity and easy access to valuable items
Solution Approach 2:
An evaluation value acts as an intermediary between the enormous amount of stored contents and user access needs. This intermediary metric filters and prioritizes content, enabling users to access valuable game plays efficiently while the server maintains large quantities of diverse contents
2Adaptability or versatility
If the server distributes all game play data to users, then content availability increases, but the load on system resources increases
Solution Approach 1:
The server extracts and distributes only high-value game play content based on evaluation values rather than distributing all stored content. This selective extraction reduces network transmission load, storage requirements at user terminals, and processing energy while maintaining high content availability for users who receive curated, valuable content
Solution Approach 2:
The system changes the parameter of content distribution from distributing all content indiscriminately to distributing content selectively based on evaluation value thresholds. This parameter change optimizes resource utilization by distributing only necessary high-value content while maintaining versatility in what content can be made available
Data Source
AI summary
Disclosed herein is a content providing method for a content providing server to provide contents to client terminals via a network. The method includes: obtaining play data indicating progress conditions of a computer game progressing according to user operation on the client terminals; evaluating game plays by each predetermined evaluation item on a basis of the play data; obtaining data of a moving image of a game play extracted according to an evaluation result; and distributing the data of the moving image to the client terminals via the network.