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Previewing scenario results

If your user Role includes the Personalization/View Policy, you can see what Content items/products are recommended to the end user when specific scenarios are triggered. Depending on the scenario type, you may need to provide additional information to see the recommendation results.

The number and selection of available scenarios depends on the arrangements that your organization makes with Ibexa when defining the initial configuration.

  1. Navigate to the Personalization > Scenarios tab, and then click the Preview icon next to a scenario that you want to preview.

  2. If your scenario is based on models of popularity type, such as, for example, Landing page or Top clicked, skip to the last step.

    No further configuration is required.

  3. If your scenario is based on models of collaborative type, such as, for example, Also clicked, in the Context items area, click Add items, and select a Content item/product from the content browser:

    1. Navigate to the Content item/product to be used as a context item for your recommendation results, for example, Sites > My site > Products > Category 1 > Product 1.
    2. Click the Add icon to select the Content item/product, and then click the Confirm selection icon.

  4. If your collaborative scenario has category-path filtering enabled, for example, Also clicked - category, in the Category path filter area, click Select path, and select a category to filter the results:

    1. Navigate to the category to be used as a filter, and then click the Confirm selection icon.

  5. If your collaborative scenario uses the end user’s history as context, like, for example, Also clicked - user, enter an end user identifier in the User id field, for example, 500.

  6. If your scenario has the use of submodels enabled, in the Custom parameters field, enter the phrase that defines a set of items based on a specific attribute, for example "material=wood", and then click the Add button.

  7. Click Send request to display the results.

Display response

You can preview the exact data object that is returned from the recommendation server and then used by the personalization service to generate the response. To see the data object, click See response code.