TABLE OF CONTENTS
Strategies allow you to choose the underlying Machine Learning Model that dictates the logic behind various approaches to product recommendations. Powered by several algorithmic decisions, these Models analyze, learn, and discover patterns in customer, product, and contextual data to present every customer with a personalized experience.
Strategies also support configuring business rules on top of the models to alter the recommendation result. For example, you can set a business rule to display trending dresses priced above $50 in the recommendation result.
Related Document: Configuring Business Rules
Create a Strategy
|Similar Products||Recommends products with similar attributes. Matches similarity vectors and picks products from the catalog with attributes similar to the product currently in view|
Recommends the most popular products on the website based on pre-defined customer triggers
|Inspired by Browsing History||Recommends products based on specific customer's search history|
|Recently Engaged||Recommends products that were last engaged with by the customer, with the most recently engaged product appearing first.|
|Collaborative Filtering||Establishes patterns between customers (creating a group), and recommends products within the group|
|Recommended for You||Recommends products considering a combination of customer's behavioral preferences and product currently in view||Recommended for You|
There are two types of bundling models you can configure on VueX,
Module creation by combining strategy and template