Dynamic Metadata Description for Search Relevance

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Solution Overview

Problem

Conventional search engine technologies fail to provide relevant metadata descriptions, leading to low conversion rates and increased calls to Tech Support, as they do not dynamically modify metadata to match user search phrases, and lack infrastructure optimization without additional hardware.

Innovation Solution

A method and system that modify metadata descriptions in search engines to match user search phrases, increasing relevance and conversion rates by using a repository to identify and aggregate content, and a metadata description converter to create dynamic, keyword-rich descriptions without altering existing infrastructure or adding hardware layers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional search engines return static metadata descriptions, then the system is simple and infrastructure requirements are low, but the conversion rate is low and user relevance is poor

Engineering Contradiction:

Improveconversion rateVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements dynamic metadata descriptions that adapt based on user search phrases and behavior. The system modifies metadata in real-time to match user intent, transforming static search results into dynamic, personalized content presentations that improve conversion rates without requiring complex hardware infrastructure

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes parameters of metadata descriptions based on search analysis. By modifying metadata parameters such as keywords, descriptions, and relevance scores dynamically, the system improves conversion rates while maintaining a relatively simple infrastructure that processes and modifies existing data rather than requiring additional hardware layers

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If static metadata descriptions are used, then infrastructure requirements are minimal, but user engagement and content relevance are insufficient

Engineering Contradiction:

Improveuser engagementVSAvoidrelevance information

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The system performs preliminary analysis of user search phrases and behavior patterns before presenting search results. By pre-processing and analyzing user intent, the system can dynamically adjust metadata descriptions to maximize relevance and engagement, preventing information loss by anticipating user needs before the search query is fully processed

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from user search behavior and conversion data to continuously improve metadata descriptions. By analyzing which metadata variations lead to higher engagement and conversion, the system refines its approach to metadata modification, ensuring that relevance information is preserved and enhanced rather than lost

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11256764B2Managing content searches in computing environments

Publication Date: 2022.02.22 EMC IP HLDG CO LLC

AI summary

A method is used in managing content searches in computing environments. The method receives, by a repository, a search phrase to retrieve content associated with the search phrase, and identifies at least one content related to the search phrase. The method modifies a metadata description associated with the content according to the search phrase. The method returns the content and the modified metadata description.