---
title: Create and manage a Content Recommendation (CR) model
slug: '3399'
canonical_url: https://docs.coveo.com/en/3399/
collection: leverage-machine-learning
source_format: adoc
---
# Create and manage a Content Recommendation (CR) model

[Coveo Machine Learning (Coveo ML)](https://docs.coveo.com/en/188/) [Content Recommendation (CR)](https://docs.coveo.com/en/1016/) [models](https://docs.coveo.com/en/1012/) suggest to the current user items that are relevant to their current browsing session.
The results that are returned by the CR service [can be included in a search page or in any other web page](https://docs.coveo.com/en/1886/), such as in a side panel window.

To take advantage of Coveo ML CR, members with the [required privileges](https://docs.coveo.com/en/3399#required-privileges) must first create their CR models.

> **Note**
>
> In a [Coveo In-Product Experience (IPX)](https://docs.coveo.com/en/na6f0491/) interface, content recommendations are provided by [IPX Recommendation (IPXRECS)](https://docs.coveo.com/en/p6hh0418/) [models](https://docs.coveo.com/en/1012/) instead of [Content Recommendation (CR)](https://docs.coveo.com/en/1016/) [models](https://docs.coveo.com/en/1012/).
> For more information, see [About IPX recommendations](https://docs.coveo.com/en/p6hb0337/).

## Prerequisites

Ensure that view [events](https://docs.coveo.com/en/260/) and search action events are being pushed to [Coveo Analytics](https://docs.coveo.com/en/182/) for your [organization](https://docs.coveo.com/en/185/) (see [Deploy Content Recommendations (CR)](https://docs.coveo.com/en/1886/)).

Even if the model only receives [search](https://docs.coveo.com/en/2949#search-performsearch) or [click](https://docs.coveo.com/en/2949#click-documentview) events, it will still provide recommendations.
However, we strongly recommend that you [send view events](https://docs.coveo.com/en/1818#send-view-events) on the web pages which correspond to the indexed items that you want to recommend.

> **Note**
>
> When there isn't enough data for the model to recommend content, the CR model won't return results, and the [Recommendation Component](https://coveo.github.io/search-ui/components/recommendation.html) will be empty.
> 
> If you recently started collecting Coveo Analytics data, recommendations will improve as more data becomes available each time the model [is retrained](https://docs.coveo.com/en/1727#training-and-retraining).

## Create a CR model

. On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page of the [Coveo Administration Console](https://docs.coveo.com/en/183/), click **Add model**, and then click the **Content Recommendations** card.

. Click **Next**.

. (Optional) In the [**Learning interval**](#learning-interval-section) section, you can change the default and recommended values for both **Data period** and **Building frequency**.

. Click **Next**.

. (Optional) In the **Apply filters on dataset** section, you can add filters to refine the data that the model uses to make its recommendations.
By narrowing down the dataset, you can better customize relevancy for specific user groups and use cases.
You can apply filters on all events, or on every event that belongs to a specific category, such as search, click, view, or custom events.

**Example**

You want your CR model to return recommendations that pertain to a specific user group, so you add a data filter to ensure that only a specific set of analytics are used by the model for training purposes.

.. In the **Select a dimension** dropdown menu, select the dimension on which you want to base the learning of the model.

.. In the **Select an operator** dropdown menu, select the appropriate operator.

.. In the **Select value(s)** dropdown menu, add, type, or select the appropriate value.

.. You can optionally add other filters by clicking **Add**.

. Click **Next**.

. (Optional) In the [**Recommended item types**](#recommended-item-types-section) section, choose [the type of items](https://docs.coveo.com/en/1744/) that the model will recommend.

. Click **Next**.

. In the **Name your model** input, enter a meaningful display name for the model.

. (Optional) Use the **Project** selector to associate your model with one or more [projects](https://docs.coveo.com/en/n7ef0517/).

. Click **Start building**.

> **Note**
>
> On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, under the **Status** column, in the model row, the value is most probably **Inactive**.
> 
> The model value will change to **Active** when the model creation is complete (typically within 30 minutes, depending on the amount of usage analytics data to process).
> The model can only return recommendations when its status is **Active**.
> 
> For more information on Coveo ML model statuses, see the [**Status** column reference](#status-column).

. (Optional) Configure [advanced settings](#advanced-configuration) for your model.

. [Associate the model with a pipeline](https://docs.coveo.com/en/l25f0432/) to use the [model](https://docs.coveo.com/en/1012/) in a [search interface](https://docs.coveo.com/en/2741/) and [test your model](https://docs.coveo.com/en/mc2g0297#test-your-cr-model) to make sure it behaves as expected.

> **Important**
>
> Make sure to follow the [model association leading practices](https://docs.coveo.com/en/l25f0432#leading-practices) before associating your model with your production query pipeline.

## Advanced configuration

You can configure advanced settings for your [model](https://docs.coveo.com/en/1012/) to suit specific use cases.

Some advanced settings are available from the [model](https://docs.coveo.com/en/1012/) options in the [Administration Console](https://docs.coveo.com/en/183/), while others are only available through JSON configuration parameters.

> **Notes**
>
> * Additional model configurations can be specified through the [Advanced Model Configuration API](https://docs.coveo.com/en/l3od9093/).
> 
> * You can also use the [`mlParameters` query parameter](https://docs.coveo.com/en/13#operation/searchUsingPost-mlParameters) to adjust the way your Coveo ML models are used at query time.

To specify advanced settings

. On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the model for which you want to specify advanced settings.

. Do one of the following:

* To specify an advanced setting using an [Administration Console](https://docs.coveo.com/en/183/) [model](https://docs.coveo.com/en/1012/) option:

.. Click **Edit** in the Action bar.

.. Click the **Advanced** tab, and then in the **Advanced** page left menu, select the setting to configure:

** [Test configuration mode](#test-configuration-mode)
** [URL format](#url-format)

* To specify an advanced setting using a JSON parameter:

.. In the Action bar, click **More**, and then click **Edit JSON**.

.. Enter the advanced parameter configuration in the JSON's `extraConfig` object:

** [`userContextFields`](#usercontextfields-list-of-strings)
** [`automaticContextDiscovery`](#automaticcontextdiscovery-boolean)
** [`urlReplacePatterns`](#urlreplacepatterns-list-of-tuples)

[start=3]
. Click **Save**.

## Manage a CR model

You can edit using the [model options](#edit-a-cr-model) or [JSON](#edit-a-cr-model-json-configuration), [delete](#delete-a-cr-model), or [review information](#review-model-information) for your [model](https://docs.coveo.com/en/1012/).

### Edit a CR model

. On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the model you want to edit, and then click **Edit** in the Action bar.

. On the subpage that opens, select the **Configuration** tab.

. Under **Name**, you can optionally edit the model's display name.

. (Optional) Use the **Project** selector to associate your model with one or more [projects](https://docs.coveo.com/en/n7ef0517/).

. (Optional) Under [**Learning interval**](#learning-interval-section), you can change the default and recommended **Data period** and **Building frequency**.

. (Optional) In the **Apply filters on dataset** section, you can add filters to refine the data that the model uses to make its recommendations.
By narrowing down the dataset, you can better customize relevancy for specific user groups and use cases.
You can apply filters on all events, or on every event that belongs to a specific category, such as search, click, view, or custom events.

**Example**

You want your CR model to return recommendations that pertain to a specific user group, so you add a data filter to ensure that only a specific set of analytics are used by the model for training purposes.

.. In the **Select a dimension** dropdown menu, select the dimension on which you want to base the learning of the model.

.. In the **Select an operator** dropdown menu, select the appropriate operator.

.. In the **Select value(s)** dropdown menu, add, type, or select the appropriate value.

.. You can optionally add other filters by clicking **Add**.

. (Optional) In the [**Recommended item types**](#recommended-item-types-section) section, choose [the type of items](https://docs.coveo.com/en/1744/) that the model will recommend.

. (Optional) Configure [advanced settings](#advanced-configuration) for your model.

. Click **Save**.

> **Note**
>
> Some configuration changes initiate an automatic model rebuild when you save the model.
> The [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page shows your model's current **Status**.
> Model settings take effect only when its status is **Active**.
> 
> For more information on Coveo ML model statuses, see the [**Status** column reference](#status-column).

. [Associate the model with a pipeline](https://docs.coveo.com/en/l25f0432/) to use the [model](https://docs.coveo.com/en/1012/) in a [search interface](https://docs.coveo.com/en/2741/) and [test your model](https://docs.coveo.com/en/mc2g0297#test-your-art-model) to make sure it behaves as expected.

> **Important**
>
> Make sure to follow the [model association leading practices](https://docs.coveo.com/en/l25f0432#leading-practices) before associating your model with your production query pipeline.

### Edit a CR model JSON configuration

. Access the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page.

. Click the desired model, and then click **More** > **Edit JSON** in the Action bar.

. In the **Edit a Model JSON Configuration** panel that appears, modify the existing model configuration:


```json
{
  "modelDisplayName": "<MODEL_DISPLAY_NAME>",
  "exportPeriod": "<EXPORT_PERIOD>",
  "intervalTime": <INTERVAL_TIME>,
  "intervalUnit": "<INTERVAL_UNIT>",
  "commonFilter": "<COMMON_FILTER>",
  "customEventFilter": "<CUSTOM_EVENT_FILTER>",
  "exportOffset": "<EXPORT_OFF_SET>",
  "searchEventFilter": "<SEARCH_EVENT_FILTER>",
  "viewEventFilter": "<VIEW_EVENT_FILTER>",
  "extraConfig": [<ADVANCED_ML_PARAMETERS>],
}
```


Where:


* `modelDisplayName` (string) is the name of the model appearing on the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page.

* `exportPeriod` (ISO-8601 string, _required_) is the period defining the age of the [Coveo Analytics data](https://docs.coveo.com/en/259/) used to build the model.
Must be in the ISO8601 period format (that is, `PyYmMwWdDThHmMsS`).

> **Note**
>
> Unless an [`exportOffset`](https://docs.coveo.com/en/3397#exportoffset) is specified, the `exportPeriod` uses the moment when the model was generated as a base.
* `intervalTime` (integer, _required_) is the number of `intervalUnit` (that is, `DAY`, `WEEK`, or `MONTH`) between each update of the model.
Must be between `1` and `30` inclusively.

* `intervalUnit` (string enum, _required_) is the duration unit of the interval between each update of the model.
See `intervalTime`.
Accepted values are: `DAY`, `WEEK`, and `MONTH`.

* `commonFilter` (string) is the filter to apply to the common event dimensions (shared by all event types) in the export. Multiple filter parameters are joined with the `AND` operator.

* `customEventFilter` (string) is the filter to apply to the custom event dimensions in the export. Multiple filter parameters are joined with the `AND` operator.

* [[exportoffset]] `exportOffset` (ISO-8601 string) is the offset of the usage analytics data used to build the model.
Must be in the ISO8601 period format (that is, `PyYmMwWdDThHmMsS`).
The default value is `PT0S`, meaning that all events are considered when building a model (the `exportPeriod` is based on the moment the model was generated).

**Example**

You want to ignore events that occur on the current day, so you set the `exportOffset` value to `P1D`.

* `searchEventFilter` (string) is the filter to apply to the click and search event dimensions in the export. Multiple filter parameters are joined with the `AND` operator.

* `viewEventFilter` (string) is the filter to apply to the view event dimensions (shared by all event types) in the export. Multiple filter parameters are joined with the `AND` operator.

* `extraConfig` (array of string) are additional [advanced parameters](#advanced-json-model-parameters) used to tailor the model to your use case.

. Click **Save** to apply your changes.

### Delete a CR model

> **Note**
>
> If the model is associated with a query pipeline, make sure to dissociate the model from the query pipeline after deleting it.

. On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the ML model that you want to delete, and then click **More** > **Delete** in the Action bar.

. In the panel that appears, click **Delete**.

### Review model information

On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the desired model, and then click **View** in the Action bar.
For more information, see [Reviewing model information](https://docs.coveo.com/en/1894/).

## Reference

### Advanced model options

#### Test configuration mode

> **Note**
>
> The **Test configuration mode** advanced option is available only for sandbox organizations.

[Sandbox organizations](https://docs.coveo.com/en/2959#sandbox-organization) typically lack the amount of usage analytics data that's required to train a model.
The **Test configuration mode** option lets you build a model in a sandbox organization with little or infrequent usage analytics data so you can test the model.

When activated, this option reduces the amount of analytics data that's required to build the model.
It also reduces other frequency thresholds that discard queries or clicks that weren't performed frequently enough.

> **Note**
>
> The usage of certain frequency thresholds, or the selection of a specific value for these frequency thresholds depends on the configuration and implementation of the model.
> As the possible combinations of threshold configurations are adapted for each model, these frequency thresholds aren't listed in this section.

To activate the test configuration mode

. On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the model for which you want to activate the test configuration mode, and then click **Edit** in the Action bar.

. On the subpage that opens, select the **Advanced** tab.

. In the left menu of the **Advanced** tab, select **Test configuration mode**.

. Select the **Activate test configuration mode** checkbox.

. Click **Save**.

#### URL format

You can use the **URL format** advanced model parameter to specify sets of patterns to find and reformat in URLs of recommended items.

**Example**

You want your [CR](https://docs.coveo.com/en/1016/) [model](https://docs.coveo.com/en/1012/) to remove the fragment in URLs, which is the part that comes after the `#` symbol.
For example, you want `\https://site.org/path#section` to become `\https://site.org/path`.

Therefore, you configure the URL format advanced parameter as follows:

![URL format](https://docs.coveo.com/en/assets/images/leverage-machine-learning/ml-url-format.png)

To configure the URL format advanced parameter

. On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the [CR](https://docs.coveo.com/en/1016/) [model](https://docs.coveo.com/en/1012/) for which you want to configure the URL format advanced parameter, and then click **Edit** in the Action bar.

. On the subpage that opens, select the **Advanced** tab.

. In the left menu of the **Advanced** tab, select **URL format**.

. Click **Add item**.

. In the **Pattern to find in URLs** input, enter a [regular expression](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions) that matches the pattern to find in URLs of recommended items.

. In the **Replace by** input, enter a replacement pattern to apply when a URL matches the regular expression entered in the **Pattern to find in URLs** input.

. Click **Save**.

### Advanced JSON model parameters

#### `userContextFields` (list of strings)

The usage analytics dimensions whose values should be used as the user context by the model to influence the ranking scores of items.

> **Important**
>
> When configuring the `userContextFields` advanced parameter, make sure that the related dimension values are sent at query time in the [`context`](https://docs.coveo.com/en/13#operation/searchUsingPost-context) parameter.

To set the parameter

[Access the model's JSON editor](#advanced-configuration), and then add the parameter configuration to the `extraConfig` object.

**Example**

You want to build an ML model that uses the `originLevel3` and `userGroups` usage analytics dimensions as the user context to influence the ranking scores of items.

Therefore, you enter the following configuration in the `extraConfig` object:

```json
"extraConfig": {
    "userContextFields": [
      "originLevel3",
      "userGroups"
    ]
}
```

#### `automaticContextDiscovery` (boolean)

Sets whether the model evaluates custom usage analytics dimensions prefixed with `context_` to provide predictions or recommendations.

**Default**: `true`

When set to `false`, the model doesn't automatically consider user context found in data.
However, it will use user context fields defined in the [`userContextFields`](#usercontextfields-list-of-strings) parameter.

To set the parameter

[Access the model's JSON editor](#advanced-configuration), and then add the parameter configuration to the `extraConfig` object.

**Example**

You want to build a model that doesn't evaluate custom usage analytics dimensions prefixed with `context_`.
Therefore, you enter the following configuration in the `extraConfig` object:

```json
"extraConfig": {
    "automaticContextDiscovery": false
}
```


#### `urlReplacePatterns` (list of tuples)

A set of patterns to find and reformat in URLs.

The first value of each tuple (that is, `pattern`) must be a regular expression to test against each URL.

The second value of each tuple (that is, `replace`) is the replacement pattern to apply when a URL matching the `pattern` is found.

To set the parameter

[Access the model's JSON editor](#advanced-configuration), and then add the parameter configuration to the `extraConfig` object.

**Example**

You want your [CR](https://docs.coveo.com/en/1016/) [model](https://docs.coveo.com/en/1012/) to remove the fragment in URLs, which is the part that comes after the `#` symbol.
For example, you want `\https://site.org/path#section` to become `\https://site.org/path`.

Therefore, you enter the following configuration in the `extraConfig` object:

```json
"extraConfig": {
  "urlReplacePatterns": [
    {
      "pattern": "(https?:\/\/\S+?)(?:#.*)?",
      "replace": "\1"
    }
  ]
}
```

### "Status" column

On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page of the [Administration Console](https://docs.coveo.com/en/183/), the **Status** column indicates the current state of your Coveo ML models.

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

[%header,cols="1,6,^.^1"]
|===
.^|Status
.^|Definition
|Status icon

|Active
|The model is active and available.
a|![Active](leverage-machine-learning/model-active.png)

|Build in progress
|The model is currently building.
a|![Building](leverage-machine-learning/model-build.png)

|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](https://docs.coveo.com/en/1894/)).
a|![Inactive](leverage-machine-learning/model-limited.png)

|Limited
|Build issues exist that may affect model performance.  
Click **See more details** for additional information (see [Review model information](https://docs.coveo.com/en/1894/)).
a|![Limited](leverage-machine-learning/model-limited.png)

|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](https://docs.coveo.com/en/mb3e0324/).
a|![Archive pending](leverage-machine-learning/model-limited.png)

|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](https://docs.coveo.com/en/1894/)).
a|![Error](leverage-machine-learning/model-error.png)

|Archived
|The model was archived because it hasn't been queried for an extended period of time.  
Click **Delete** to remove the model.  
[Learn more about archived models](https://docs.coveo.com/en/mb3e0324/).
a|![Archived](leverage-machine-learning/model-archived.png)
|===

### "Learning interval" section

In this section, you can modify the following:

* [[data-period]]**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.

[cols="^3,^1,^1,^1"]
|===
.2+.^h|**Data period**
3+h|**Building frequency**

h|Daily
h|Weekly
h|Monthly

|1 month
|[check]
|[check]
|

|3 months (Recommended)
|
|[check]
|

|6 months
|
|
|[check]
|===

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](https://docs.coveo.com/en/231/) or more typically allows a Coveo ML model to provide very relevant recommendations. You can look at your [Coveo Analytics](https://docs.coveo.com/en/182/) 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](https://docs.coveo.com/en/1342/) 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](#test-configuration-mode) to ensure the model provides recommendations.

### "Recommended item types" section

In the **Recommended Item Types** section, you can choose [the types of items](https://docs.coveo.com/en/1744/) that a CR model recommends.
By default, **All types** is selected, meaning that all types of content are returned.
Alternatively, you can choose specific item types to filter out.

To filter out specific item types

. Select **Specific item types**.
. In the **Select value(s)** field, for each type that you want to add, type the desired content type and then click **Add**.


**Example**

The view events that are pushed to Coveo Analytics for your organization include various types of content, such as `Article`, `Application`, `Download`, and `Course`.
You only want to use this model to recommend relevant downloads, so you add **Download**.


> **Notes**
>
> * The view events that are pushed to Coveo Analytics for your organization must contain [appropriate `contentType` values](https://docs.coveo.com/en/1744/).
> 
> * The **View Content Type** option doesn't behave like the other filters.
> All view event content types and search events are analyzed to create the model, but only pages of the specified content types are recommended.
> 
> * Only create more than one recommendation model if you want to include recommendation windows for different content types (see the note in [Deploy Content Recommendations (CR)](https://docs.coveo.com/en/1886#pageViews)).

## Required privileges

By default, members with the [required privileges](https://docs.coveo.com/en/1832#required-privileges) can view and edit elements of the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page.

The following table indicates the privileges required to use elements of the **Models** page and associated panels (see [Manage privileges](https://docs.coveo.com/en/3151/) and [Privilege reference](https://docs.coveo.com/en/1707/)).

[cols="3",options="header"]
|===
|Action
|Service - Domain
|Required access level

|View models
|Machine Learning - Models  
Organization - Organization  
Search - Query pipelines
|View

.2+|Edit models
|Organization - Organization  
Search - Query pipelines
|View

|Machine Learning - Models
|Edit
|===