Game Server Demand Calculation for Play-Video Creation
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Solution Overview
Problem
Existing technologies face challenges in creating play-videos in a pin-point fashion, leading to a buildup of unviewed content and hindering the sharing and viewing cycle, thus motivating casual players to create high-quality play-videos is essential.
Innovation Solution
An information processing system that includes a server and terminals, where the server obtains log data of positive and negative events, calculates the potential demand for play-videos, and notifies players to record and upload videos based on demand levels, using event detection, log provision, and notification units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If players create play-videos by capturing the entire game screen during play time, then video data can be generated, but the quality and relevance of play-videos decrease leading to accumulation of unviewed content
Solution Approach 1:
The system performs preliminary analysis of game logs to identify high-demand events before players create videos. By pre-calculating which game events have high viewing demand based on historical data and player behavior patterns, the system can guide players to capture specifically those moments, avoiding random or irrelevant video creation
Solution Approach 2:
The system implements a feedback loop where play-video creation outcomes are analyzed to refine future recommendations. By monitoring which types of play-videos are actually viewed and engaged with, the system adjusts its demand calculations and provides increasingly accurate guidance to players, improving video relevance over time
2Quantity of substance
If players are motivated to create more play-videos, then content availability increases, but the cycle of sharing and viewing is hindered by lack of demand matching
Solution Approach 1:
The system pre-identifies high-demand video topics by analyzing game logs and player behavior patterns before videos are created. This preliminary demand assessment allows the system to guide players toward creating videos that are likely to be viewed, thus maintaining high productivity in the sharing cycle
Solution Approach 2:
The system replaces the mechanical trial-and-error process of video creation with an intelligent recommendation system. By using automated demand calculation based on game event analysis, the system substitutes manual guessing with data-driven guidance, significantly improving the efficiency of the sharing and viewing cycle
3Ease of operation
If pin-point play-videos are created for specific interesting moments, then video quality improves, but it is difficult to create such videos with existing technologies
Solution Approach 1:
The system enables players to create high-quality pin-point play-videos through self-service guidance. By automatically analyzing game logs and identifying interesting moments, the system provides players with ready-made recommendations for what to capture, eliminating the need for complex manual analysis while maintaining high video quality
Solution Approach 2:
The system acts as an intermediary between game events and video creation. By introducing a demand calculation component that analyzes game logs and translates them into actionable video creation recommendations, the system bridges the gap between raw game data and meaningful play-video content, simplifying the creation process
Data Source
AI summary
It is an object of the present invention to continuously and effectively motivate players playing a game to create and upload play-videos. At a server 1, an event obtaining unit 11 obtains log data of a demand-invoking event that has been processed as being negative in the game from a terminal 2-1, etc. on which the demand-invoking event has occurred. The event obtaining unit 11 obtains log data of a possible supply event that has been processed as being positive in the game from a terminal 2-2 on which the possible supply event has occurred. A demand-level calculating unit 13 selects demand-invoking events related to the possible supply event from one or more demand-invoking events on the basis of the individual log data obtained and calculates the level of potential demand on the basis of the result of selection. A play-video-recording-recommendation notification unit 14 issues a notification to the terminal 2-2 on which a possible supply event having a demand level satisfying a predetermined condition has occurred to prompt recording of a play-video of the possible supply event.