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Overview
How Promoted Works
Promoted Integration Walkthrough - Hipcamp
Installing Promoted on Top of Other Search Systems
Getting Started
Integration
Overview
Delivery
Ranking Requests
Handling Paging in Ranking
Blender Allocation
Use Case in Delivery
Metrics
Sending Engagements Signals
Sending Engagements on Web
Sending Engagements on iOS
Sending Engagements on Android
Sending Engagements from your server
Content
Sending Content Details
Content API Tutorial
CMS and Request Property Feature Formats
Using CMS to Load Batch Analytics as ML Features
Sending Embeddings
Debugging
Debugging Integration Issues
Metrics Library for iOS Performance Debugging Using OSLog and Xray
Explanation
Attribution and Joining Logic
Handling Position Bias
Non-Engagement Features
Semantic Relevance and LLMs
Using LLMs to Generate Relevance Labels
GPU LLM Inference
Default Semantic Relevance Rubric
Tracking
Overview of user event tracking with Promoted metrics
Why another user event tracker?
Protecting your metrics logging data
Technical Diagrams
Delivery System Diagrams
2nd Stage Ranking Model Architecture
Promoted Network Diagrams: SOC2 - AWS-AWS
Example Blender Allocation Diagrams
Promoted Q&A
Why use server-side SDKs?
Which environment should I use?
General Q&A
Solutions Q&A
Search and Ranking Q&A
Troubleshooting Search Diversity
Value of Unified Ranking - Research Report
Build Versus Buy - Ads
Glossary
Promoted Terms
Client Metrics Terms
Ad Delivery Terms
Selected Capabilities
Native Ads
Ads Auctions and Bids
Dynamic Bidding, Autobidders, and Fixed Bids
Frequency and Repetition Controls
Pacing and Daily Budgets
Organic Search and Feed
Diversity Rules
Maps, Geolocation, and Time
Organic Carousels
Organic Boosting
Semantic Relevance
Unified Organic + Native Ads
Ad Load, Slotting, and Filtering
Long-Term Value Optimization
Evaluation and Improvements
A/B Testing
Estimating Impact using the Shadow Tier
Daily ML Reports
Running a Holdback Test
Introspection Report
Feature Importance Report
Security and Legal
Pseudonymization and Disabling Personalization
Privacy and Security FAQs
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