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Category Page

Introduction#

Optimize category pages by reordering products according to user preferences for a personalized experience.

If you show the category page as a faceted search, read more information in the Faceted Search page.

Scenario Setup#

In the Recombee Admin UI, navigate to the Scenarios section and choose Create Scenario.

  1. Enter a Scenario ID. Select a distinctive label for your recommendation scenario, such as "category-listing"
  2. Choose Recommendation type - Items to User
Admin UI - Scenario Setup

There are typically many products in a category and you want to offer the user more products as the user scrolls down.

Request the Recommend Next Items endpoint to load subsequent products of interest.

Logic#

The Logic defines the behavior of the recommendation engine.

This Logic offers the user products in personalized order. If the user does not have any interactions yet, the products are ordered by global popularity.

Admin UI - Logic

Filters#

Show Only Products from the Particular Category (Dynamic)#

Based on which category the user enters on the website, only products from the particular category shall be displayed.

As the selected category is dynamic, the category filter shall be sent in the he filter parameter of the API request.

Based on how you model the category/categories in your catalog, the sent ReQL expression may look like:

String Property#
ReQL
'category' == "<the particular category>"

'category' == "Mobile Phones" # example for Mobile Phones
Set of Categories#
ReQL
"<the particular category>" in 'categories'

"Mobile Phones" in 'categories' # example for Mobile Phones

Other Filters#

Available Products (Global Settings)

Requesting Recommendations#

There are two ways to get recommendations.

  1. HTML Widget - create an Infinite Feed HTML Widget using the visual editor in the Admin UI.
  2. API & SDK - request the Recommend Items to User endpoint of the Recombee API using an SDK of your choice.

In either case, you need to set the filter parameter to allow only items from the displayed category in the recommendations.

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