Recommendations for media
Engage and retain audiences.
Recommend media content (articles, video) based on watch history. Optimize for goals like converting trial subscriptions or growing ad inventory.
Recommendations for retail
"Recommendations AI was easy to integrate with our existing recommendations framework, and enabled us to deliver next-gen recommendations without a ton of work. We are steadily investing in data science and it is very helpful for us to be able to integrate and test different algorithms. Recommendations AI performs really well on our product detail pages and increased conversions and revenue significantly."
Oliver Herren, CIO, Galaxus
Build a media recommendations appLearn how to use the Google Cloud console to create a media recommendations app.
Try recommendations for retailLearn how to create recommendation models for your retail application.
Create a recommendations appFollow this step-by-step guidance to create a general purpose recommendations app.
Pricing for recommendations is based on operations such as training and tuning (per node per hour) and requesting predictions (per 1,000 predictions). Prediction cost is tiered by number of monthly prediction requests.
You can try recommendations with a free credit. This credit is typically sufficient to train a model and test its performance in production through a two-week A/B test.
View our pricing page for more details: