Machine Learning Relevancy

Overview

Relevancy is telling the search engine how to best sort the information in its index to ensure search results match search queries as closely as possible.

It’s the process of bringing the most relevant information to the top of the result list.

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Quick Start

Machine Learning Relevancy Quick Start
Create new relevancy models, create signal data using Search UI, use machine learning to train relevancy models, compare relevancy models to measure improvement.

Documentation

Machine Learning Relevancy Reference
A listing of all available configuration options and properties for Machine Learning Relevancy.

Configuring Relevancy Models

Managing Relevancy Features

Managing Relevancy Models

Relevancy Features

Relevancy Model Analysis

Training Relevancy Models

Using Relevancy Models