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Artificial Intelligence Powered Recommender as a Service

Reach the next level of personalization with Product, Content, and Search recommendations using intuitive RESTful API and SDKs tailored by data scientists.

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9GAGShowmaxAudiomackZumperTripadvisorTemple & WebsterSlickdealsand 1000+ other sites and apps.

Empower your Platform with AI Personalization

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

Video Personalization

Boost Engagement With Real-time Video Recommendations

Become your user's favorite platform! Employ personalization software and add to your watch time and create a foundation of loyal viewers.

Apply for

  • Fully Personalized Homepage
  • Similar Movies/Series
  • Editors' Picks For You
  • Search Movies/Series
  • Personalized Emailing
  • Watch Next
  • and a lot more...
E-Commerce Personalization

Advance Your Platform With AI

Boost your sales by making customers' shopping experience most enjoyable. Reap the benefits of fuller carts and stock on positive reviews.

Apply for

  • Fully Personalized Homepage
  • Shopping Cart
  • Alternative Products
  • Faceted Search
  • Personalized Emailing
  • Popular & Trending
  • and a lot more...
Music & Podcasts Personalization

AI-Based Music Recommendations

Utilize insights into listeners’ preferences to offer a listening experience tailored to each user - just like Spotify!

Apply for

  • Fully Personalized Homepage
  • Similar Songs/Artists
  • Playlists Made For You
  • New Releases
  • Recommended Artists For You
  • Quick Search
  • and a lot more...
Articles, News, Media Personalization

Engage Audiences With Emerging Topics in Real-Time

Recombee’s engine is designed to build rich relationships with the readers, improve KPIs, and push your site through the ranks!

Apply for

  • Articles For You
  • Related Articles
  • Trending Articles
  • Search Articles
  • Weekly Digest Email
  • Personalized News Feed
  • Read Next
  • Cross-Site Recommmendation
  • Daily Digest Email
  • and a lot more...
Real Estate Personalization

Customer Experience With Personalized Recommendations

Recombee eases the journey of finding the right property, increases customer satisfaction, and aims at higher amounts of successful viewings.

Apply for

  • Top Listings For You
  • Nearby Listings
  • More From This Broker
  • Quick Search
  • Watchdog Recommendations
  • and a lot more...
Marketplaces & Aggregators Personalization

Achieve More With Personalized Offers

Leverage customer insights and increase your partner and customer loyalties using a smart product recommendation system.

Apply for

  • Fully Personalized Homepage
  • Similar Offers
  • More From This Advertiser
  • Faceted Search
  • Personalized Emailing
  • Quick Search
  • and a lot more...
Job Boards, HR, Networking Personalization

Upgrade Your Platform With Job Recommendations

Push relevant job opportunities forward. Leverage from AI-powered quality in your job board software and drive your site through the ranks!

Apply for

  • Recommended Jobs For You
  • Similar Job Offers
  • Similar Candidates
  • Personalized Search
  • More From This Employer
  • Personalized Emailing
  • and a lot more...
Travel & Trips Personalization

Travel Personalization for Enhanced Experiences

Recombee’s cutting edge personalized trip recommendations keep your customers engaged and make their experiences unforgettable.

Apply for

  • Recommended For You
  • Geolocation Recommendations
  • Promoted Offers For You
  • Faceted Search
  • Personalized Emailing
  • Nearby Listings
  • and a lot more...
Other Industries
Other Industries

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.

Explore our features to learn more

  • Extensive Configuration - Choose what models will be applied, which content will be eligible for recommendations, and which content will be boosted for each use case. Explore more
  • Support for the hierarchy of content - Enhance discovery by recommending categories, tags, authors, and more using the Item Segmentations. Explore more

Personalization Powerhouse

Recombee Recommendations

Recommendations

Match your user’s tastes with real-time personalized recommendations across all platforms - website, app, or email.

  • Increase your KPIs by choosing an ensemble of models tuned for your use case. Explore more
  • Recommend anything from individual products or content to categories, brands, or even order of rows on your homepage. Explore more
  • Enjoy cutting-edge improvements in the field thanks to our successful research

Watch How Personalization Works

Content Recommendations
Product Recommendations

Why Companies Choose Recombee

Kristie Chen, 9GAG
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.
Christopher Dalla Riva, Audiomack
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.
Larkin Magner, Crexi
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.
Daniel Uhm, Slickdeals
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.
Heike Guertler, Pepper
Heike Guertler
Head Of Product at Pepper
Recombee problem-solving skills have proven invaluable, helping us overcome various business challenges while allowing us to consistently increase our click-outs and deliver a better user experience. Thanks to their solution we've seen our click-outs increase by up to 21%.

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
Recombee - Configurability

Easy Integration

Enjoy a 30-day unlimited free trial to implement and test our solution with no risk.

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

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
Recombee - Cutting Edge AI & Research

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 10k 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.
Recombee - Scaleability

Quick and Easy Integration
into Your Environment

The recommendation engine is provided by RESTful API, HTML Widgets and SDKs for multiple programming languages.

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.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()"))
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()")
);
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()"))
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 callbacks
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
}
$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()"]));
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()"));
# Send a view of item 'item_x' by user 'user_id'. Create user and/or item if it doesn't exist yet.
POST http://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 http://rapi.recombee.com/database_id/recomms/users/user_42/items/?count=5&filter=%27expires%27%3Enow()
Awards
Deloitte Technology Fast 50 CE 2020
Deloitte Technology Fast 50 CE, 2020
#23rd position
Deloitte Technology Fast 50 CE 2019
Deloitte Technology Fast 50 CE, 2019
#14th position in Rising Stars
AI Awards 2018
AI Awards 2018 in Czech Republic
Finalist - AI Company of the Year