Search Query Analysis for Inadequate Content Identification

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Solution Overview

Problem

Websites face challenges in identifying topics of interest to users, as existing methods like surveys can be inaccurate and unreliable, and popular topics may not necessarily indicate high-quality content availability.

Innovation Solution

A system comprising a statistics collection engine, analysis engine, comparator, and topic distribution engine analyzes search queries to determine topic popularity and quality, identifying underserved topics and suggesting additional content creation to content creators based on search logs and user feedback.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If surveys are used to identify topics of interest, then user interest can be gauged, but the accuracy and reliability of the results deteriorate due to manipulation and inaccuracy

Engineering Contradiction:

Improveaccuracy of topic interest measurementVSAvoidreliability of topic interest measurement

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent replaces manual survey mechanisms with automated search query analysis. Instead of relying on users to actively respond to surveys, the system passively collects and analyzes search query data to infer topic interest, eliminating the manipulation and inaccuracy inherent in survey responses

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system uses search queries themselves as the data source, allowing the search engine to automatically identify topic interest without requiring separate survey infrastructure. The search queries naturally reveal what topics users are interested in, making the system self-sufficient and eliminating survey-related biases

Inventive Principle:

Principle #25Self-service

2Quantity of substance

If total number of searches is used to identify popular topics, then topic popularity can be identified, but content quality availability deteriorates as popular topics may not indicate high-quality content

Engineering Contradiction:

Improvenumber of searches for a topicVSAvoidquality of content availability

Core Design Contradiction:

Quantity of substanceVSManufacturing precision

Solution Approach 1:

The system analyzes search query patterns and user behavior feedback to determine not just topic popularity but also content quality. By observing how users interact with search results (click-through rates, dwell time, refinement patterns), the system can distinguish between popular topics with good content and popular topics with inadequate content

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent introduces additional parameters beyond simple search volume, including content quality metrics, user engagement statistics, and satisfaction indicators. This multi-parameter approach allows the system to identify topics that are both popular and well-served by high-quality content

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9020933B2Identifying inadequate search content

Publication Date: 2015.04.28 GOOGLE LLC

AI summary

Systems and methods for identifying inadequate search content are provided. Inadequate search content, for example, can be identified based on statistics associated with the search queries related to the content.