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The Next-Gen AI Recommender & Search

Become the architect of your success with our AI personalization engine designed to align with the visionary strategy of product managers and tech teams.

Recommendations
Personalized Search
Insights & Analytics

Trusted by 10,000+ sites and apps

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Empower your Platform with AI Personalization

Explore a feature-rich Recommender & Search solution tailored for your unique use case.

Video AI Personalization

Maximize Engagement With Real‑Time Video Recommendations

Surface the right content at the right moment with recommendations that adapt in milliseconds. Increase watch time, completion, subscriptions, and retention across every device.

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Use Cases Examples

Last Chance
Trending In Your Country
Fully Personalized Homepage
Top Genres For You
Editors' Picks For You

Fully Personalized Homepage

Sports & Live Events AI Personalization

Win Every Fan With Real‑Time Sports & Live Event Recommendations

Keep fans watching longer and coming back for more. Recombee’s personalization engine delivers instant, hyper-relevant sports and live event content to every viewer across games, highlights, replays, and news.

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Use Cases Examples

Fan-tailored Notifications & Newsletters
Related Content & Deep Dives
Fully Personalized Homepage
Upcoming Matches & Events
Live Game Alerts & Recommendations

Fully Personalized Homepage

E-commerce AI Personalization

Drive Revenue Growth With Personalized Product Discovery

Guide shoppers to products they’re most likely to buy with real-time 1:1 recommendations that increase conversions, average order value, and repeat purchases.

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Use Cases Examples

Quick Search
Similar Products
Fully Personalized Homepage
Shopping Cart
Alternative Products

Fully Personalized Homepage

Articles, News, Media AI Personalization

Engage Readers with Personalized, Real-Time Recommendations

Recombee’s advanced 1:1 content personalization is designed to boost engagement metrics and maximize subscriber lifetime value while preserving the editorial voice.

Use Cases Examples

Cross-Site Recommendation
Sections For You
Articles For You
Related Articles
Trending Articles

Articles For You

Deal Aggregators AI Personalization

Drive Repeat Visits With Personalized Deals

Surface the right promotions before they expire based on user behavior and live inventory to increase click-through rates, partner yield, and repeat visits.

Use Cases Examples

Faceted Search & Category Browsing
Personalized Emailing
Fully Personalized Feed
Similar Deals
Promoted Deals For You

Fully Personalized Feed

Music & Podcasts AI Personalization

Keep Listeners Coming Back With Personalized Recommendations

Recommend the next song, artist, album, or playlist based on listener context and real-time behavior to drive discovery, engagement, and repeat listening.

Use Cases Examples

Trending In Your Country
Personalized Emailing
Fully Personalized Homepage
Similar Songs/Artists
Playlists Made For You

Fully Personalized Homepage

Real Estate AI Personalization

Boost Property Discovery With Personalized Recommendations

Surface relevant listings instantly based on real-time user signals and evolving preferences to reduce search fatigue and drive higher-quality inquiries.

Use Cases Examples

Watchdog Recommendations
Similar Listings
Top Listings For You
Nearby Listings
More From This Broker

Top Listings For You

P2P Marketplaces AI Personalization

Drive Marketplace Growth With Real‑Time Recommendations

Connect buyers with listings they’re most likely to engage with to increase discovery, conversions, and repeat activity.

Use Cases Examples

Faceted Search
Personalized Emailing
Fully Personalized Homepage
Similar Offers
More From This Advertiser

Fully Personalized Homepage

Travel & Trips AI Personalization

Increase Bookings With Relevant Travel Recommendations

Turn lookers into bookers with recommendations that adapt to traveler preferences, context, and real-time behavior to drive bookings and repeat stays.

Use Cases Examples

Personalized Emailing
Nearby Listings
Recommended For You
Geolocation Recommendations
Promoted Offers For You

Recommended For You

Recruitment AI Personalization

Get Better-Fit Applications With Smarter Job Matching

Recommend relevant roles based on each candidate’s context and real-time behavior to increase job discovery, applications, and qualified matches.

Use Cases Examples

Personalized Emailing
Recommended Employers
Recommended Jobs For You
Similar Job Offers
Similar Candidates

Recommended Jobs For You

Other Industries AI Personalization

Personalize The User Experience

Thanks to Recombee's flexibility, the recommendations and search can be applied to virtually any use case with a lot of content.

Personalization Powerhouse helps you make a unique impression through a personalized user experience.

Why Recombee

Top-Notch Technology Supporting Your Business

Full Control

Follow your product vision by setting specific behavior for each box with recommendations.

Full Control
  • Choose the behavior of the model, what can be recommended, and what shall be boosted
  • Express your custom filters and boosters using our flexible ReQL language
  • Use our AI ReQL Assistant to create any rules with ease

Easy Integration

Follow your product vision by setting specific behavior for each box with recommendations.

Easy Integration
  • Use SDK in your programming language to call our REST API
  • Integrate using an HTML low-code solution
  • Take advantage of our extensive documentation
  • Get help from our support team whenever needed.

Cutting Edge AI & Research

Benefit from unique features and inventions developed by our data scientists.

Cutting Edge AI & Research
  • Our data scientists frequently contribute to the most prestigious conferences in the field
  • We transform the latest innovations from our data scientists and the scientific community into product solutions
  • We ensure the highest quality of our recommendations through automatic hyper-parameter optimization

Scalability

Thanks to our horizontally scalable infrastructure, we recommend over a billion products, videos, articles, and other pieces of content every day.

Scalability
  • We can handle over 30k recommendations per second
  • We support large catalogs with tens of millions of items
  • We ensure low network latency to your servers and customers by having multiple data centers strategically situated across the globe.
DAZN
Christoph Haas

Christoph Haas

EVP Product & Platform Engineering at DAZN

At DAZN, being the Global Home of Sports means delivering the right matches, highlights, and moments to audiences in 200+ markets - bringing fans even closer to the live game. That’s why we’ve teamed up with Recombee to personalize experiences at scale. Their tech enables us to connect each viewer on any device with the right game or clip in real time through flexible solution built for growth. This partnership sets the pace for a smarter, more connected global sports experience.

How It Works

A Few Steps to Personalization

How it works

From Developers to Developers

The recommendation engine is provided for multiple programming languages by

AI Agents Ready

If you’re using an AI agent or assistant to integrate Recombee into your application, the documentation includes an integration guide written specifically for AI assistants.

You can use the initial prompt as a starting point.

Initial Prompt

Integrate Recombee (a recommendation engine) into my application.

Before writing any code, fetch and read the integration guide at https://docs.recombee.com/ai_assistant_guide.md.
It's written specifically for AI assistants and covers authentication, catalog sync, interactions, recommendations, and common pitfalls.
Use it as your primary reference.

First, explore the codebase to understand the stack, data models, and integration points.
Then propose a plan before implementing anything.

Do not decide on your own where recommendations should appear.
Ask me which use cases to implement — homepage recommendations, related items on a product page, personalized search, email suggestions, and so on.
The right surfaces depend on my product and priorities, so treat that as a shared decision even when you're otherwise working autonomously.

After we agree on the use cases, implement them end to end, and flag any assumptions you have to make along the way.
const client = new recombee.ApiClient('database-id', dbPublicToken);

// Send a view of item 'item_x' by user 'user_42'
client.send(new recombee.AddDetailView('user_42', 'item_x'));

// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
const recommended = await client.send(
	new recombee.RecommendItemsToUser('user_42', 5, { filter: "'expires' > now()" }),
);

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