Content Abuse Detection via User Classification

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Solution Overview

Problem

Centralized content distribution systems face challenges in detecting and preventing abuse by content developers, including the distribution of undesirable content and circumvention of upload restrictions, which can lead to malicious applications and policy violations.

Innovation Solution

A content management server system that collects and analyzes user and content-related data to classify users based on previous activities and policies, correlating user accounts and evaluating current actions to determine permission for content uploads, and implements measures to identify and ban developers engaging in questionable practices, such as creating alternate accounts to bypass bans.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If centralized content distribution systems allow free content upload by developers, then content variety and developer participation increase, but abuse and policy violations occur

Engineering Contradiction:

Improvecontent varietyVSAvoidabuse and policy violations

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The system performs preliminary classification of users based on their previous content generation and download activities before allowing new uploads. This advance evaluation prevents abusive content from being uploaded in the first place, resolving the contradiction by maintaining content variety while blocking harmful content through pre-screening mechanisms.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors and evaluates current content generation activities, using feedback loops to detect and respond to abusive patterns. This real-time feedback mechanism allows the system to adapt to new abuse patterns while maintaining open content distribution, addressing both content variety and abuse prevention.

Inventive Principle:

Principle #23Feedback

2Reliability

If the system bans abusive developers, then content quality and policy compliance improve, but banned developers may create alternate accounts to bypass restrictions

Engineering Contradiction:

Improvecontent qualityVSAvoidcircumvention capability

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The user classification system evaluates multiple attributes and behaviors simultaneously rather than relying on a single identifier. By assessing various aspects of user activity patterns, device characteristics, and content metadata, the system creates a comprehensive profile that is difficult to circumvent through alternate accounts, thus maintaining content quality while preventing bypass attempts.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediate classification layer between the banned developer and the content distribution system. Even if a banned developer creates a new account, the intermediary classification mechanism evaluates the new account's activities and characteristics to determine whether it should be associated with the banned user, effectively blocking circumvention attempts.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If the system evaluates all content upload requests, then policy compliance improves, but processing time and system complexity increase

Engineering Contradiction:

Improvepolicy complianceVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system applies partial evaluation by focusing classification resources on users with suspicious or changing behaviors rather than uniformly evaluating all upload requests. This targeted approach maintains policy compliance for high-risk cases while reducing processing time for low-risk established developers, resolving the contradiction between thorough evaluation and processing efficiency.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary classification of users based on their historical activities before they attempt uploads. This advance classification creates a baseline trust level, allowing the system to quickly process requests from classified users while applying more rigorous evaluation only when necessary, thus reducing overall processing time while maintaining compliance.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS8984151B1Content developer abuse detection

Publication Date: 2015.03.17 GOOGLE LLC

AI summary

A server that manages download and/or distribution of content may collect content-related information associated with users, and classify the users based on that data. The content-related information may comprise data relating to content generation and/or upload by the users. The server may determine whether a user is granted permission to upload content for distribution or download via the server, based on correlating the user with a previously classified user, and/or on evaluation of current content generation or download activities associated with the user. Determination of whether the user is granted permission to upload content may be done directly and/or autonomously by the server. Alternatively, a recommendation whether to grant permission to upload content may be submitted by the server to another entity for selection thereby. The server may reject or accept a content upload request from the user based on the determination of whether the user is granted permission.