Create and manage a Dynamic Navigation Experience (DNE) model (2024)

DNE models reference

Default number of expanded facets: 4
Default number of displayed values in expanded facets: 8

While you can change both values, it’s not recommended and requires developer skills.

"Status" column

On the Models (platform-ca | platform-eu | platform-au) page of the Administration Console, the Status column indicates the current state of your Coveo ML models.

The following table lists the possible model statuses and their definitions:

Status	Definition	Status icon
Active	The model is active and available.
Build in progress	The model is currently building.
Inactive	The model isn’t ready to be queried, such as when a model was recently created or the organization is offline. Click See more details for additional information (see Review model information).
Limited	Build issues exist that may affect model performance. Click See more details for additional information (see Review model information).
No query pipeline	The model isn’t associated with a query pipeline. Click Associate with a query pipeline to go to the Query Pipelines page.
No case assist configuration	The model isn’t associated with a case assist configuration. Click Associate with a case assist configuration to go to the Case Assist page.
Soon to be archived	The model will soon be archived because it hasn’t been queried for an extended period of time. Click Delete to remove the model. Learn more about archived models.
Error	An error prevented the model from being built successfully. If it’s a temporary system error, check back soon.Otherwise, click See more details for additional information (see Review model information).
Archived	The model was archived because it hasn’t been queried for at least 30 days. Click Delete to remove the model. Learn more about archived models.	n/a

“Learning Interval” section

In the Learning interval section, you can modify the following:

Data period: The usage analytics data time interval on which the model will be based.
Building frequency: The rate at which the model is retrained.

Set the Coveo ML model training Building frequency based on the Data Period value. Less frequent for a larger Data Period and more frequent for a smaller Data Period as recommended in the following table.

Data period	Building frequency
Data period	Daily	Weekly	Monthly
1 month
3 months (Recommended)
6 months

The more data the model has access to and learns from, the better the recommendations. As a general guide, a usage analytics dataset of 10,000 queries or more typically allows a Coveo ML model to provide very relevant recommendations. You can look at your Coveo Usage Analytics (Coveo UA) data to evaluate the volume of queries on your search hub, and ensure that your Coveo ML models are configured with a training Data period that corresponds to at least 10,000 queries. When your search hub serves a very high volume of queries, you can consider reducing the data period so that the model learns only more recent user behavior and be more responsive to trends.

A Coveo ML model regularly retrains on a more recent Coveo UA dataset, as determined by the Building frequency and Data period settings, to ensure that the model remains up-to-date with the most recent user behavior.

Note

If you’re testing the model in a sandbox environment in which very little analytics data is available to train the model, you can activate the Test configuration mode advanced option to ensure the model provides recommendations.

"Facet Autoselect" section

When enabled, the Facet Autoselect feature automatically selects facet values according to the user query.The feature learns from a user’s behavior to understand which categories are the most relevant according to the user’s current browsing task.

The Facet Autoselect section lets you choose the facet fields to which the automatic selection of facet values should apply.

You won’t be able to enable or edit the Facet Autoselect feature once the DNE model is created.

To enable the automatic selection of facet values:

In the Select facet fields dropdown menu, select the facet fields for which the automatic selection of values should apply.
In the Associated sources section, do one of the following:
- Select All if you want to take all sources into account for the selected fields.
- Select Specific if you want to take only certain sources into account for the selected fields.You can then deselect undesired sources.
  Note
  If your Coveo organization includes multiple indexes, this feature supports only the fields of sources that are linked to the default index.

Note

The greater the number of items associated with the selections made in the Select facet fields dropdown menu and Associated sources section, the longer the model will take to build.

Required privileges

By default, members with the required privileges can view and edit elements of the Models (platform-ca | platform-eu | platform-au) page.

The following table indicates the privileges required to use elements of the Models page and associated panels (see Manage privileges and Privilege reference).

Action	Service - Domain	Required access level
View models	Machine Learning - Models Organization - Organization Search - Query pipelines	View
Edit models	Organization - Organization Search - Query pipelines	View
Edit models	Machine Learning - Models	Edit