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personalization cleanup (#3305)
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docs/administration/project_organization/architecture.md

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| [Solr Storage Engine](solr_overview.md) | Transparent drop-in replacement for the SQL-based Legacy search engine. |
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| [IO](file_management.md#native-io-handler) | The IO API is organized around two types of handlers, both used by the IOService. |
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| [IO Handler](clustering.md#dfs-io-handler) | The IO Handler manipulates metadata, making up for the potential inconsistency of network-based filesystems. |
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| [Recommendation](enable_personalization.md) | Recommendation API. |
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| [Personalization server](enable_personalization.md) | Personalization server allows displaying recommendations on the website. |
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| [Recommendations](connector_installation_configuration.md) | Recommendation API. |
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| [Raptor recommendation connector](raptor_connector.md) | Raptor recommendation connector allows displaying recommendations on the website. |

docs/administration/project_organization/bundles.md

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|ibexa/migrations|[Migration of repository data](data_migration.md)|
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|ibexa/oauth2-client|Authenticate user through a [third-party OAuth 2 server](oauth_client.md), integration with [`knpuniversity/oauth2-client-bundle`](https://github.com/knpuniversity/oauth2-client-bundle)|
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|ibexa/oauth2-server|Configure [[= product_name =]] to act as a [OAuth2 Server](oauth_server.md)|
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|ibexa/personalization|Functionality for personalized recommendations|
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|ibexa/product-catalog-date-time-attribute|Implementation of the [Date and Time attribute type](date_and_time.md)|
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|ibexa/product-catalog-symbol-attribute|Implementation of the [Symbol attribute type](symbol_attribute_type.md)|
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|ibexa/product-catalog|Product catalog functionality|

docs/cdp/cdp_activation/cdp_data_export.md

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At this point, you can map **email** to **email** and **id** to **integer** fields to get custom columns.
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If you have [extended user data export with custom fields](cdp_data_customization.md#export-additional-user-data), those fields appear as additional columns in this section.
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Make sure to add them to your schema in Raptor so they can be used for segmentation and personalization.
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Make sure to add them to your schema in Raptor so they can be used for segmentation and recommendations.
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Next, select **Create schema based on the downloaded columns**.
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It moves you to Schema Creator.

docs/cdp/cdp_data_customization.md

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## Export additional user data
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You can extend user data exported to CDP by attaching custom information, for example user content fields or user preferences.
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Use it for advanced customer segmentation and personalization in marketing campaigns.
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Use it for advanced customer segmentation and recommendations in marketing campaigns.
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To add custom data to user exports, create a class that extends [`\Ibexa\Contracts\Cdp\Export\User\AbstractUserItemProcessor`](/api/php_api/php_api_reference/classes/Ibexa-Contracts-Cdp-Export-User-AbstractUserItemProcessor.html) and implement the `doProcess()` method.
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The base class handles user field validation and provides helper methods for working with user content.

docs/cdp/cdp_guide.md

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To create a personalized customer experience, you need to group your clients into specified audiences.
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[[= product_name =]] comes with a ready solution - segment groups.
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Segment group information is reused by various [[= product_name =]] functionalities, such as [Personalization](personalization_guide.md) or content targeting.
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Segment group information is reused by various [[= product_name =]] functionalities, such as [Recommendations](raptor_connector_guide.md) or content targeting.
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You can [create a segment group]([[= user_doc =]]/personalization/segment_management/) in the back office of [[= product_name =]].
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It serves as a container for all segments data generated by [[= product_name_cdp =]].

docs/commerce/transactional_emails/extend_transactional_emails.md

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## Customize Actito end-user profile
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The Actito platform offers many features for customer data collection, including segmentation, subscriptions, and interaction tracking.
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This information can be later user for generating statistics, establishing trends, or used to calculate Personalization recommendations.
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This information can be later user for generating statistics, establishing trends, or used to calculate recommendations.
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To use these features you need to provide profile data to API requests yourself.
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You do it by means of events that are triggered during profile building.
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docs/customer_management/customer_portal_guide.md

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An additional benefit of customer portals is their availability 24/7.
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Thus, reducing the need to allocate resources to extend working hours or hire more employees.
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### Localization and personalization
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### Localization and recommendations
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The use of Page Builder in the Customer Portal creation process enables you to create unique experiences for each business customer based on their location, business type, company, or market they operate on.

docs/ibexa_products/editions.md

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| [Product catalog capabilities]([[= user_doc =]]/product_catalog/product_catalog/) | ✔ | ✔ | ✔ |
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| [Date and time attribute type](date_and_time.md) | ✔ | ✔ | ✔ |
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| [Symbol attribute type](symbol_attribute_type.md) | ✔ | ✔ | ✔ |
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| [Personalization](personalization_guide.md) | ✔ | ✔ | ✔ |
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| [Recommendations](raptor_connector_guide.md) | ✔ | ✔ | ✔ |
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| [Migrations](managing_migrations.md) | ✔ | ✔ | ✔ |
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| [[[= product_name_connect =]]]([[= connect_doc =]]/) | ✔ | ✔ | ✔ |
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| [OAuth client](oauth_client.md) | ✔ | ✔ | ✔ |

docs/ibexa_products/ibexa_commerce.md

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#### Create personalized shipping experience
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Use [Ibexa Personalization]([[= user_doc =]]/personalization/use_cases/#ecommerce) to transform your online stores and give your consumers great buying experiences, from initial contact to post-purchase support.
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Use [Raptor recommendations connector](raptor_connector_guide.md) to transform your online stores and give your consumers great buying experiences, from initial contact to post-purchase support.
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No matter how complicated your product or sales process are, you can present your offer in an approachable way.
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Creating engaging and personalized shopping experiences with targeted offers and recommendations helps you boost sales.
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Within eCommerce, product recommendations can assist users in finding the exact item that meets their needs.

docs/ibexa_products/ibexa_experience.md

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[Segmentation](segments_admin_panel.md) allows you to split up the user base.
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By assigning users to segments, you can display specific content to selected visitors and tailor the content that they can see.
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One of the tools that you can use right out of the box is the Targeting block that is available in the Page Builder.
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Segmentation is also useful with the [Personalization](personalization_guide.md).
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Segmentation is also useful with the [Recommendations](raptor_connector_guide.md).
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You can assign users to different recommendation groups and create advanced logic with operators to provide your audience with the best recommendations.
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![Segments](segments.png)

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