Solution Accelerator

Recommendation Engines for Personalization

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

Increase conversion with personalized recommendations

Customers have different needs at each stage of the buyer journey. Choose the right recommender model for your scenario. Have a cold start problem? Try content-based recommenders. Nudging an existing customer to add to their cart? Wide-and-deep recommenders can help.


Imaged-based recommendations

Build a similarity-based image recommendation system for e-commerce that takes into account the visual similarity of items as an input for making product recommendations.

Get the notebooks

Market-based recommendations

Build a recommender that leverages product affinities to suggest additional items.

Get the notebooks

Wide-and-deep recommendations

Build a wide-and-deep recommender with collaborative filters that takes advantage of patterns of repeat purchases to suggest both previously purchased and related products.

Get the notebooks


Deliver innovation faster with Solution Accelerators for popular data and AI use cases across industries. See our full library of solutions ➞

Ready to get started?

Try Databricks for free