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.
Trusted by 10,000+ sites and apps
Apply AI
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.
Use Cases Examples
- Fully Personalized Homepage
- Top Genres For You
- Editors' Picks For You
- Search Movies/Series
- Personalized Emailing
- Watch Next
- Related Movies/Series
- Continue Watching
- New Releases
- Last Chance
- Trending In Your Country





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.
Use Cases Examples
- Fully Personalized Homepage
- Upcoming Matches & Events
- Live Game Alerts & Recommendations
- Personalized Highlight Reels & Replays
- Powerful Sports Search
- Trending in Your Country
- Fan-tailored Notifications & Newsletters
- Related Content & Deep Dives





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.
Use Cases Examples
- Fully Personalized Homepage
- Shopping Cart
- Alternative Products
- Faceted Search
- Personalized Emailing
- Popular & Trending
- Upsell
- Cross-Sell
- Top Brands For You
- New Arrivals
- Personalized Category Browsing With Infinite Scroll
- Bestsellers
- You May Also Like
- Recommended For You
- Recently Viewed
- Buy Next
- Just For You
- Quick Search
- Similar 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
- Articles For You
- Related Articles
- Trending Articles
- Search Articles
- Periodic Newsletters
- Personalized News Feed
- Read Next
- Cross-Site Recommendation
- Sections For You





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
- Fully Personalized Feed
- Similar Deals
- Promoted Deals For You
- Trending Deals In Your Area
- Faceted Search & Category Browsing
- Personalized Emailing





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
- Fully Personalized Homepage
- Similar Songs/Artists
- Playlists Made For You
- New Releases
- Recommended Artists For You
- Quick Search
- Play Next
- Trending In Your Country
- Personalized Emailing





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





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





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
- Recommended For You
- Geolocation Recommendations
- Promoted Offers For You
- Faceted Search
- Personalized Emailing
- Nearby Listings





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
- Recommended Jobs For You
- Similar Job Offers
- Similar Candidates
- Personalized Search
- More From This Employer
- Personalized Emailing
- Recommended Employers





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.
- 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.
- 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.
- 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.
- 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.
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.
Tom Kelleher
Director of Emerging Technology – AI & Personalisation at The Telegraph
We use Recombee to power our AI personalization & Search at The Telegraph. It immediately proved its value, securing a 35% CTR uplift in an A/B test against a competing solution while simultaneously enhancing our editors' ability to manage and analyse content performance. Beyond the numbers, the collaboration with the Recombee team has been excellent, they helped us push our thinking and we were delighted to jointly present at the RecSys conference and be recognized as an INMA '26 finalist for "Best Use of Generative AI".
+35%
CTR Uplift
+8%
Average Sessions
Kristie Chen
Product Head at 9GAG
Thanks to the Recombee solution, we managed to increase, among other KPIs, post views by 37%, overall interactions by 22%, and users’ session duration by 7.5%. With Recombee, we've taken engagement with user-generated content to the next level.
+37%
Post Views
+22%
Overall Interactions
+7.5%
Session Duration
Christopher Dalla Riva
Senior Product Manager at Audiomack
Thanks to the Recombee recommender engine, our monthly plays increased by 206% and weekly follows by 67%. Because the recommendations performed so well, we moved them from our Search page to the top of our main Discover tab. They are now the best-performing module within that tab, accounting for 46% of all plays.
+206%
Monthly Plays
+67%
Weekly Follows
Larkin Magner
Director of Product Management at Crexi
Our customers now receive highly relevant property recommendations that cater to their specific needs, with one notable email campaign seeing a 178% uplift in CTOR. Recombee commitment to excellence is evident in the 40% increase in listing engagements on our platform, contributing to our growth in the competitive real estate market.
Up to +178%
Email CTOR
+40%
Listing Engagements
Daniel Uhm
Product Manager at Slickdeals
Placing recommendations on our homepage was a huge success — 70%+ higher product detail page views and 30%+ higher clickthroughs. The Recombee team is a great partner in helping solve our unique use cases, and we look forward to continue working with them.
+70%
Product Detail Page Views
+30%
Clickthroughs
Michal Lebowitsch
SVP International & Content Operations at Gaia
Recombee helped us make content discovery far more relevant for every viewer. Following a seamless implementation, we saw a 23% increase in click-through rate and a 39% increase in video views reaching at least 25% completion. The platform’s configuration flexibility and the team’s hands-on support made it easy to tailor recommendations to our specific needs.
+23%
Click-Through Rate
+39%
Video Views (25% Completion)
How It Works
A Few Steps to Personalization
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
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()" }),
);client = RecombeeClient('database-id', secret_token)
# Send a view of item 'item_x' by user 'user_42'. Create user and/or item if it doesn't exist yet.
client.send(AddDetailView('user_42', 'item_x', cascade_create=True))
# Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
recommended = client.send(RecommendItemsToUser('user_42', 5, filter="'expires' > now()"))RecombeeClient client = new RecombeeClient("database-id", secretToken);
// Send a view of item "item_x" by user "user_42". Create user and/or item if it doesn't exist yet.
client.send(new AddDetailView("user_42", "item_x").setCascadeCreate(true));
// Get 5 recommended items for user "user_42". Recommend only items which haven't expired yet.
RecommendationResponse recommended = client.send(
new RecommendItemsToUser("user_42", 5).setFilter("'expires' > now()")
);var client = new RecombeeClient("database_id", secretToken);
// Send a view of item "item_x" by user "user_42". Create user and/or item if it doesn't exist yet.
client.Send(new AddDetailView("user_42", "item_x", cascadeCreate: true));
// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
var recommended = client.Send(new RecommendItemsToUser("user_42", 5, filter: "'expires' > now()"));$client = new Client('database-id', $secret_token);
// Send a view of item 'item_x' by user 'user_42'. Create user and/or item if it doesn't exist yet.
$client->send(new Reqs\AddDetailView('user_42', 'item_x', ['cascadeCreate' => true]));
// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
$recommended = $client->send(new Reqs\RecommendItemsToUser('user_42', 5, ['filter' => "'expires' > now()"]));client = RecombeeClient.new('database-id', secret_token)
# Send a view of item 'item_x' by user 'user_42'. Create user and/or item if it doesn't exist yet.
client.send(AddDetailView.new('user_42', 'item_x', 'cascadeCreate' => true))
# Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
recommended = client.send(RecommendItemsToUser.new('user_42', 5, 'filter' => "'expires' > now()"))client, _ := recombee.NewRecombeeClient("databaseId", secretToken)
// Send a view of item 'item_x' by user 'user_42', creating user/item if they don't exist
client.NewAddDetailView("user_42", "item_x").SetCascadeCreate(true).Send()
// Get 5 recommended items for user 'user_42', filtering out expired items
recommendRes, _ := client.NewRecommendItemsToUser("user_42", 5).SetFilter("'expires' > now()").Send()
// Print recommended item IDs
for _, rec := range recommendRes.Recomms {
fmt.Println(rec.Id)
}const client = new recombee.ApiClient('database-id', secretToken);
// Send a view of item 'item_x' by user 'user_42'. Create user and/or item if it doesn't exist yet.
client.send(new rqs.AddDetailView('user_42', 'item_x', { cascadeCreate: true }), callback);
// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
const recommended = await client.send(
new rqs.RecommendItemsToUser('user_42', 5, { filter: "'expires' > now()" }),
); // Supports both Promises and callbackslet client = RecombeeClient(databaseId: "yourDatabaseId", publicToken: dbPublicToken, region: .euWest)
try await client.send(AddDetailView(userId: "user_42", itemId: "item_x"))
let result = try await client.send(RecommendItemsToUser(userId: "user_42", count: 5, filter: "'expires' > now()"))
result.recomms.forEach { print($0.id) }val client = RecombeeClient(databaseId = "yourDatabaseId", publicToken = dbPublicToken,)
// Send a view of item 'item_x' by user 'user_42'
client.send(AddDetailView("user_42", "item_x"));
// Get 5 recommended items for user 'user_42'. Recommend only items which haven't expired yet.
val result = client.sendAsync(RecommendItemsToUser("user_42", count = 5, filter = "'expires' > now()"))
result.onSuccess { response: RecommendationResponse ->
// Show recommendations
}# Send a view of item 'item_x' by user 'user_id'. Create user and/or item if it doesn't exist yet.
POST https://rapi.recombee.com/database_id/detailviews/
Data: {'userId': 'user_42', 'itemId': 'item_x', 'cascadeCreate': true}
# Get 5 recommended items for user 'user_42'.
# Recommend only items which haven't expired yet (filter: 'expires' > now()).
GET https://rapi.recombee.com/database_id/recomms/users/user_42/items/?count=5&filter=%27expires%27%3Enow()Shape the Future
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