IREN
Advanced AI-powered search evaluation platform
Open Evaluation
Continue your previous evaluation work by loading a saved session file
Start New Evaluation
Begin a new search evaluation project from scratch
Learn System
Explore documentation and learn how to use IREN effectively
Sampling
Manage search query datasets with distribution analysis and file operations.
Sample Management
Manual Entry
Search Phrase Sample
| Search Phrase | Frequency | Actions |
|---|
Classification
Enrich the sample by assigning each query an Information-Need category, grouping them into Semantic Clusters, labelling User Intents, and calculating a Conversion-Potential score.
Classification Method
Classification Rules
BERT Model Configuration
Clustering Configuration
User Intents Determination
This method uses predefined keywords to classify queries as Transactional, Informational, or Navigational.
Conversion Potential Scoring
Each factor is multiplied by its weight and then added together. The theoretical range of the Conversion Score with the current weights is
calculating…
Adjust weights or keyword lists to suit your data.
Labeling
Labeling is a critical alignment stage. For every search phrase we define the authoritative product or category the search engine should surface, record the live inventory quantity and attach the target URL. This step normally requires close collaboration between merchandisers, search-relevance engineers and business stakeholders so that the expected results are explicit and agreed by all parties.
Labeling Configuration
Labeling Progress
0 / 0 completedEngine Evaluation
Comparative search engine performance assessment with advanced analytics
Search Engine Configuration
Engine A
Engine B
Engine C
Evaluation Configuration
Batch Screenshot Capture
Capture search results pages in bulk across engines for the evaluation sample.
Evaluation Results
Comparative search engine performance assessment with advanced analytics
Engine Comparative Results
Win Analysis
Performance Visualization
Evaluation Results
| Query | Engine | Total in SERP | Relevant in SERP | Total in Inventory | Precision | Recall | F1-Score |
|---|
Findings & Recommendations
Analytics
Comprehensive analytics dashboard (placeholders)
Overview & Summary
Click to open high-level metrics and quick insights.
User Intents
Placeholder for intent distribution and trends.
Semantic Clusters
Placeholder for cluster visualizations and summaries.
Conversion Optimization
Placeholder for conversion opportunity analysis.
Topic Analysis
Placeholder for emerging and declining topics.
Long Tail Analysis
Click to open long-tail metrics and charts.
Hierarchical Structure
Placeholder for category hierarchy insights.
Query Explorer
Placeholder for interactive query drill-down.
Long Tail Analysis
Analyze the distribution of search query volume to identify head and long-tail patterns.