Recommendations from Vertex AI Search
Take advantage of Google's expertise in recommendations, powered by state-of-the-art machine learning models. Provide effective and real-time personalization with the recommendations capability (formerly Recommendations AI) of Vertex AI Search.
Give customers more of what they love
Earn your customers’ trust and loyalty by proving how well you understand them. Google delivers content to billions across consumer facing platforms including Google Ads, Google Search, and YouTube.
Recommendations from Vertex AI Search lets businesses harness that experience and expertise to deliver personalized recommendations that suit each customer’s tastes and preferences.
Choose your outcome
Customize recommendations to deliver your desired outcome: engagement, revenue, or conversions. Apply business rules to fine-tune what customers see, diversify product displays, and filter by product availability, custom tags, etc.
Your data, your models
Your data and models are yours and yours alone. They’ll never be used for any other Google product nor shown to any other Google customer. You’re never locked in, and can delete your data and models anytime. Learn more.
Fully managed service
No need to preprocess data, train or hypertune machine learning models, load balance, or manually provision your infrastructure to handle unpredictable traffic spikes. We do it all for you automatically.
Deliver high-performing recommendations across channels
Get started in 4 simple steps
Vertex AI Search for industries
Take advantage of industry specific features to fully optimize outcomes for your business.
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
Convert shoppers.
Recommend products based on models like user history and frequently bought together. Use cart events to optimize and increase your conversion rates.
Customer stories
"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
Technical resources
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Build a media recommendations appLearn how to use the Google Cloud console to create a media recommendations app.
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Try recommendations for retailLearn how to create recommendation models for your retail application.
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Create a recommendations appFollow this step-by-step guidance to create a general purpose recommendations app.
Pricing
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:
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