Online Game Content Personalization via User Type Classification
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Solution Overview
Problem
Conventional online games provide the same content for discovery, unlocking, or winning without regard to individual users' playing styles, leading to unsatisfying experiences.
Innovation Solution
A system that adjusts content in online games based on user gameplay information, using servers and client computing platforms to execute modules that determine user types and provide customized content, including in-game items and actions, tailored to each user's preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the same content is provided to all users without customization, then the system complexity is reduced and ease of manufacture is improved, but user satisfaction and engagement deteriorate
Solution Approach 1:
The system performs preliminary classification of users into types (e.g., explorers, achievers, social players) before content delivery. This advance categorization enables personalized content routing without requiring complex real-time analysis during gameplay, resolving the contradiction between personalization and system complexity
Solution Approach 2:
Different content types and delivery mechanisms are applied to different user segments based on their classified preferences. Each user type receives locally optimized content quality and presentation style, achieving high adaptability while maintaining manageable system complexity through targeted rather than universal customization
2Measurement precision
If comprehensive user gameplay information is collected and analyzed, then content personalization is improved, but data processing complexity and time consumption increase
Solution Approach 1:
The system collects comprehensive gameplay data but processes only the most relevant features for user classification. By focusing on key behavioral indicators rather than analyzing every gameplay metric, the system achieves high measurement precision for user preferences while minimizing processing time and computational resources
3Adaptability or versatility
If customized content is provided based on user types, then user engagement and satisfaction are improved, but the complexity of content management and delivery increases
Solution Approach 1:
The content library is segmented into distinct categories and delivery rules corresponding to different user types. This segmentation allows content managers to organize and maintain customized content for each user category independently, making content management more systematic and easier to handle despite the overall customization complexity
Data Source
AI summary
This disclosure relates to adjusting individualized content made available to users of an online game based on user gameplay information. In implementations, information relating to prospective usage of the online game is used to classify users according by user type, and content made available to the users is customized accordingly. Information relating to prospective usage may include predictive information such as demographic and geographic information, as well as game usage information for the users. User types may include resource collection, player versus player, and player versus environment. Customized content may include content made available to the users through the users in-game actions, such as exploring a map, researching a technology or skill, purchasing an in-game item, and completing an in-game achievement, including in-game items, in-game powers, in-game skills, in-game technologies, in-game pets, in-game transportation units, in-game units, and in-game buildings.