Personalize Your Apps

• Fusion Server
• Fusion AI
• Predictive Merchandiser

Fusion Server

• Use Advanced Linguistics with Basistech
• Boost and Block
• Create Custom Rule Actions with the API
• Use the Query Elevation Component

Fusion AI

• Edit, Enable, or Disable A Rule
• Configure The Rules Simulator Query Profile
• Smart Answers Cold Start Part 2: Model Deployment (Fusion 4.2 only)
• Cold Start Part 1: Model Training (Fusion 4.2 only)
• Create Custom Rule Actions with the API
• Use the UI to Create Custom Rules
• Create a new Business Rule
• Build a Custom ML Service Image
• Configure a REST Call Job to Delete Old Signals
• Develop and Deploy a Machine Learning Model
• Deploy The sentiment-general Model
• Deploy The sentiment-reviews Model
• Edit Rules in The Rules Simulator
• Enable and Disabling Query Rewriting Strategies
• Enable Recommendations
• Enable User-for-item Recommendations
• Enable or Disable Signals
• FAQ Solution Part 2: Model Deployment (Fusion 4.2 only)
• FAQ Solution Part 1: Model training (Fusion 4.2 only)
• Fetch Items-for-Item Recommendations (Content-Based Method)
• Fetch Items-for-Item Recommendations (Collaborative/BPR Method)
• Fetch Items-for-Item Recommendations (Collaborative/ALS Method)
• Fetch Items-for-User Recommendations (Collaborative/BPR Method)
• Fetch Items-for-User Recommendations (ALS Method)
• Import Signals
• Configure An Argo-Based Job to Access GCS
• Configure An Argo-Based Job to Access S3
• Join Signals with Item Metadata
• Plan an experiment
• Configure The Smart Answers Pipelines (5.1 and 5.2 only)
• Retrieve a List of Signal Types
• Use the Analytics screen in the Rules Editor
• Use Business Rules in the Rules Editor
• Use the Analytics Screen in the Rules Editor
• Use Query Rewrites in the Rules Editor
• Run an experiment
• Configure an Experiment stage
• Set up an experiment
• Extract Short Answers from Longer Documents
• Add Smart Answers Pipelines to An Existing App
• Advanced Model Training Configuration for Smart Answers
• Train A Smart Answers Cold Start Model
• Set Up A Pre-Trained Cold Start Model for Smart Answers
• Train A Smart Answers Supervised Model
• Smart Answers Instance Setup (Fusion 4.2 only)
• Configure The Smart Answers Pipelines (5.3 and above)
• Evaluate a Smart Answers Query Pipeline
• Use the Query Elevation Component
• Use Misspelling Detection
• Use Phrase Detection
• Use Synonym Detection
• See A Smart Answers (QnA) Job's Status and Output

Predictive Merchandiser

• Access Predictive Merchandiser
• Block a Product in Predictive Merchandiser
• Boost a Product in Predictive Merchandiser
• Bury a Product in Predictive Merchandiser
• Create Custom Rule Actions with the API
• Pin a Product in Predictive Merchandiser
• Merchandising Zero Results
• Use Predictive Merchandiser Facets
• Use Predictive Merchandiser Search Rewrites
• Use Predictive Merchandiser Tasks
• Use Predictive Merchandiser Templates
• Use the Query Elevation Component