Gaming Network User Experience Personalization
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Solution Overview
Problem
In gaming networks, users face challenges in discovering and accessing user-generated content that aligns with their interests, as the vast amount of available content makes it difficult to distinguish between relevant and irrelevant material, leading to a suboptimal user experience.
Innovation Solution
The system characterizes users based on their gameplay information and assigns labels, which are used to group them into communities with similar interests. User-generated content is then metadata-tagged and promoted to these communities, with popularity determined by views and feedback, ensuring that content reaches the most interested users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If user-generated content is made widely available in gaming networks, then content diversity and user participation increase, but it becomes difficult for users to discover relevant content among the vast amount of available material
Solution Approach 1:
The patent segments the vast content library by creating user profiles with labels based on gameplay characteristics, and segments content by metadata tags. This segmentation allows content to be divided into manageable, categorized groups that are easier to navigate and discover, resolving the contradiction between content quantity and discovery ease.
Solution Approach 2:
The patent introduces an intermediary matching system that uses labels and metadata as mediators between users and content. This intermediary automatically matches users with relevant content based on their profile characteristics and content tags, eliminating the need for users to manually search through vast amounts of content and thus resolving the discovery difficulty.
2Measurement precision
If user-generated content is promoted based on popularity metrics, then high-quality content becomes more visible, but the system requires complex tracking and evaluation mechanisms
Solution Approach 1:
The patent implements feedback mechanisms where user interactions (views, likes, shares) with promoted content are tracked and used to refine future content promotion decisions. This feedback loop allows the system to learn from user behavior and improve content matching accuracy over time, achieving precise quality assessment through relatively simple interaction tracking.
Solution Approach 2:
The system allows content to essentially promote itself by tracking organic user engagement metrics. Content that naturally resonates with users generates positive feedback signals automatically, reducing the need for complex manual evaluation mechanisms while still achieving precise quality assessment through user-driven metrics.
3Adaptability or versatility
If users are grouped into communities based on similar interests, then content relevance and user engagement improve, but the system requires sophisticated user characterization and labeling
Solution Approach 1:
The patent implements self-service user characterization where the system automatically generates labels based on observed gameplay patterns and user behavior. Users don't need to manually fill out complex profiles; instead, the system observes their gameplay characteristics and automatically creates meaningful labels and community assignments, achieving sophisticated customization through relatively simple automated observation and labeling.
Data Source
AI summary
The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.