Content Request Verification Engine for Spam Filtering

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Solution Overview

Problem

Existing content management systems face challenges in handling invalid content item requests, such as spam, typographical errors, and improperly formatted requests, which can lead to ineffective content delivery and require manual correction by resource sponsors.

Innovation Solution

A system comprising a content management system with a verification engine and a suggestion engine that filters out spam requests, corrects typographical errors, and generates suggested advertisable entities from invalid requests, allowing resource sponsors to automatically validate and correct content item requests.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual verification of content item requests is performed, then accuracy of content delivery is improved, but labor cost and time consumption increase

Engineering Contradiction:

Improveaccuracy of content deliveryVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables self-service through automatic verification engines that independently validate content item requests against predefined criteria, filtering spam and correcting errors without human intervention. The verification engine automatically processes requests, identifies invalid patterns, and applies corrections, allowing the system to serve itself rather than relying on manual verification processes.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual verification processes are replaced with automated electronic verification systems that use algorithms and machine learning models to analyze content item requests. The system substitutes human mechanical verification with computational processes that can rapidly evaluate requests against verification criteria, significantly reducing time consumption while maintaining or improving accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated verification is implemented, then processing speed is improved, but system complexity increases

Engineering Contradiction:

Improveprocessing speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The verification system is segmented into distinct functional modules including spam detection components, validation engines, and correction mechanisms. Each module handles specific aspects of verification independently, allowing the system to process requests through specialized subsystems rather than monolithic complex processes, thereby improving processing speed while managing complexity through modular architecture.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The verification engine is designed as a universal system that handles multiple types of content item requests across different formats and sources using the same core verification logic. The system applies unified verification criteria and correction rules to diverse request types, reducing the need for separate specialized systems and thereby managing complexity while maintaining high processing speed across various request scenarios.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Manufacturing precision

If strict validation rules are applied, then content quality is improved, but number of valid requests decreases

Engineering Contradiction:

Improvecontent qualityVSAvoidnumber of valid requests

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The system performs preliminary validation and correction actions before final content delivery. By pre-processing requests to identify and correct common errors such as typographical mistakes or formatting issues, the system maintains strict quality standards while recovering potentially valid requests that would otherwise be rejected. This preliminary intervention allows the system to enforce quality rules while preserving more valid requests through proactive error correction.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The verification system dynamically adjusts validation parameters and tolerance levels based on the specific request context and historical data. By modifying verification criteria parameters adaptively, the system maintains high content quality standards while accommodating legitimate variations in request formats. This parameter flexibility allows the system to reject only truly invalid requests while accepting requests that meet adjusted validity thresholds, thereby improving both quality and request throughput.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9064261B2Auto-suggested content item requests

Publication Date: 2015.06.23 GOOGLE LLC

AI summary

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method comprising: receiving a content item request from a resource, the resource associated with a resource sponsor; verifying the content item request including filtering out spam requests and determining if the content item request is valid; for any invalid requests, providing a content item in response to the content item request that is in conformance with an existing definition provided by the resource sponsor; and presenting information related to invalid requests to the resource sponsor in a user interface, the user interface including tools for enabling the resource sponsor to automatically accept and validate a content item request so that subsequent requests of the same type are validated upon receipt.