Introduction

The Recommendations API allows users to promote and recommend items to their customers. Users can get item recommendations from catalogs on their site using algorithms provided by installed apps.

With the Recommendations API, you can:

• Get a list of algorithms available for use on your site.
• Get a list of recommended items suggested by a given algorithm.

Algorithms

Algorithms are programs that identify and return a set of item recommendations based on a catalog. There are different types of algorithms, identified by their algorithmType that calculate different kinds of recommendations. For example, Algorithms with the algorithmType of RELATED_ITEMS also take a list of items as input and use those to calculate recommendations.

For example, Wix Stores provides the following algorithms:

Name	Description	Algorithm Type
“From the same categories”	Returns items that share the most categories with items in the list provided.	RELATED_ITEMS
“Frequently bought together”	Returns items that are frequently bought together with the first item in the list provided.	RELATED_ITEMS
“Frequently viewed together”	Returns items that are frequently viewed together with the first item in the list provided.	RELATED_ITEMS
“Best sellers”	Returns the items from the catalog with the highest number of sales.	GLOBAL

Before you begin

• You must have a Wix app that provides algorithms installed on your site, and you must have a Wix app whose catalogs are supported by those algorithms installed on your site. For more information see the List Available Algorithms method. Currently, the only app providing algorithms and their supported catalogs is Wix Stores.
• No caching is implemented, so repeat calls take the same time to complete as the first call.

Use cases

Show bestselling products from a Wix site in your app.

Terminology

• Catalog: A set of products or services available for purchase in a Wix app. For example, a set of products in Wix Stores.
• Algorithm: A program implemented by a Wix app, such as Wix Stores, which returns a list of item recommendations.