Enterprise Search Relevance Computation Engine

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Solution Overview

Problem

Conventional search systems rely on keyword searches, which often return a vast amount of irrelevant content, failing to effectively establish the relevance of objects within an enterprise system, leading to inefficient information retrieval.

Innovation Solution

A system and method that utilize a relevance computation engine to assign ratings and connection strengths to objects based on query terms, propagating relevancies and domain weights to determine an overall relevance, allowing for more precise search results across different domains and categories.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If keyword searches are used to retrieve content, then the search system can process queries efficiently, but the relevance of returned content deteriorates

Engineering Contradiction:
Improvesearch processing efficiencyVSAvoidcontent relevance accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system transforms the search approach by changing parameters from simple keyword matching to a multi-factor relevance computation model that incorporates object ratings, connection strengths, and domain weights, thereby improving relevance accuracy while maintaining processing efficiency through structured computation

Inventive Principle:
Principle #35Parameter changes

2Quantity of substance

If traditional search systems return all content containing key words, then completeness of search results is improved, but information quality deteriorates due to irrelevant content

Engineering Contradiction:
Improvesearch result volumeVSAvoidinformation quality
Core Design Contradiction:
Quantity of substanceVSLoss of information

Solution Approach 1:

The system extracts and prioritizes relevant information by computing overall relevance scores based on object ratings and connection strengths, separating high-quality relevant content from irrelevant results, and presenting only the most valuable information to users

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system replaces the mechanical keyword-matching approach with a computational relevance assessment model that uses ratings, connection strengths, and domain weights to evaluate and rank search results, thereby improving information quality

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS8589419B2System and method for establishing relevance of objects in an enterprise system
Publication Date: 2013.11.19 OPEN TEXT CORPORATION
  • US8589419B2 patent drawing
  • US8589419B2 patent drawing
  • US8589419B2 patent drawing

AI summary

A system, method, and computer program for establishing relevance of objects in an enterprise system is provided. One or more objects are assigned to content associated with an enterprise system. One or more query terms are received from a user. A preliminary relevance of the one or more objects is determined based on the query terms. Ratings are assigned to the one or more objects based on the preliminary relevance. An overall relevance of the one or more objects is established based on the ratings.