RL Sorting is a Drupal module by DXPR that applies Thompson Sampling reinforcement learning to Views sort orders, automatically surfacing high-performing content variants without manual A/B test configuration.

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RL Sorting - Reinforcement Learning Content Optimization for Drupal Views

Advanced A/B testing for Drupal Views that learns automatically. Instead of manually setting up A/B tests, RL Sorting continuously tests all content simultaneously using Thompson Sampling machine learning to surface winners while giving new content fair exposure.

Features

• Advanced A/B Testing Engine - Powered by Thompson Sampling ML
  • Multi-variant testing of unlimited content pieces simultaneously
  • Zero setup required - no manual test configuration or statistical analysis
  • Continuous learning - tests never end, performance improves over time
  • Automatic statistical significance handling
• Universal entity support - Works with nodes, users, taxonomy terms, media, custom entities, and external data
• Cold start handling - New items get proper exploration scores automatically
• Views integration - Simple sort plugin that works with any Views-compatible data source
• Real-time learning - Continuous adaptation based on user interactions
• Fail-hard debugging - No silent fallbacks, issues are immediately visible

Setup

1. Install the module (requires RL module)
2. Edit any View display (nodes, users, terms, media, custom entities)
3. Add "RL Sorting" as a sort criteria
4. Configure cache refresh rate and time window options
5. Save - items immediately begin learning from user interactions

How It Works

1. Track Engagement - JavaScript monitors when items are viewed and clicked
2. Learn Patterns - Thompson Sampling identifies high-performing items
3. Optimize Order - Best items automatically move to prominent positions
4. Handle New Items - New content gets exploration scores for fair exposure
5. Continuous Improvement - Performance gets better with every visitor

Beyond Traditional A/B Testing

Unlike traditional A/B testing tools, RL Sorting provides:

• Multi-Variant Testing - Test unlimited content pieces simultaneously, not just A vs B
• Zero Manual Work - No test setup, statistical analysis, or winner selection required
• Continuous Optimization - Tests never end, performance improves over time
• Smart Traffic Allocation - Reduces traffic waste by promoting winners faster
• Cold Start Problem Solved - New content automatically gets fair exposure

Use Cases

• Blog Posts - Surface most engaging articles first
• Product Pages - Highlight items that convert best
• News Feeds - Breaking stories get automatic priority
• Resource Centers - Most valuable downloads rise to the top
• Case Studies - Showcase most compelling success stories

Configuration

• Cache Lifetime - How often content order refreshes
• Automatic Cache Setup - Views cache automatically configured for optimal performance

Dependencies

• RL (Reinforcement Learning) module

Related Modules

• Reinforcement Learning (RL) - Required. Thompson Sampling engine that powers all scoring, experiment tracking, and reporting used by RL Sorting
• Views - Required. RL Sorting registers itself as a Views sort plugin and hooks into the Views rendering pipeline
• DXPR CMS - Ships RL Sorting pre-configured alongside DXPR Builder and DXPR Theme for a turnkey content optimization setup