Why use Recombee

Save time and money developing own recommender system
Rather use the most advanced engine tailored by data scientists

Real time recommendation as a service

Our API/SDK returns the recommendations immediately after user’s action at your website or in your app in less than 200 ms.

Scalable solution

We can deliver the service no matter how large is the traffic at your website. Our system is capable of delivering more than 500 recommendations per second.

User interface

You can check the key performance indicators in near real-time using our intuitive graphical user interface (GUI).

Domain independence

Our system is successfully used for recommending movies, news, cultural events, books, songs, job advertisements, or products in eshops. It is easily adaptable to any other domain.

Easy setting of rules

You can express your business or any other rules by our simple query language ReQL. The filter and the booster can be set independently for each recommendation request.

Research and improvements

We use sophisticated algorithms in the core of our recommendation engine. The models are continuously managed and improved by the Artificial Intelligence.

Use cases

  • Website Personalization
  • Personalized Emails
  • Cross-domain Recommendations
  • Multi-channel Recommendations
  • Product Recommendations
  • Big Data Recommendations
  • Behavioral Analytics
  • Faster Product Discovery

Benefits

  • Increased Conversion Rate
  • Higher Profits
  • Increased Loyalty
  • Increased Retention
  • Improved User Experience
  • Increased Lifetime Value
  • Reduced Churn and Confusion
  • AI Driven A/B Testing

Domain expertise

  • Jobs, Career Recommender
  • Cultural Events
  • Video on Demand/Streaming
  • Music/Song Recommendation
  • News and Articles
  • Consumer Products
  • Sport Equipment

…and many others.

Thanks to Recombee, by continuous changes in our website and emailing, we managed to lift the total number of responses.
Recombee opened us many new possibilities in recommending relevant events, places, and artists, to our customers. It works great.
@showmaxonline what did you guys do to your recommendations engine??? it's flipping awesome. Discovered so much. #innovation.

How to use

The recommendations are provided via RESTful API and we provide SDKs for multiple programming languages.

client = RecombeeClient.new('database-id', secret_token)

# Send purchase of item 'item_x' by user 'user_42'. Create user and/or item if it doesn't exist yet.
client.send( AddPurchase.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( UserBasedRecommendation.new('user_42', 5, 'filter' => "'expires' > now()") )
See Recombee API Client for Ruby on Github
RecombeeClient client = new RecombeeClient("database-id", secretToken);

// Send purchase of item "item_x" by user "user_42". Create user and/or item if it doesn't exist yet.
client.send(new AddPurchase("user_42", "item_x").setCascadeCreate(true));

// Get 5 recommended items for user "user_42". Recommend only items which haven't expired yet.
Recommendation[] recommended = client.send(new UserBasedRecommendation("user_42", 5).setFilter("'expires' > now()"));
See Recombee API Client for Java on Github
client = RecombeeClient('database-id', secret_token)

# Send purchase of item 'item_x' by user 'user_42'. Create user and/or item if it doesn't exist yet.
client.send( AddPurchase('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( UserBasedRecommendation('user_42', 5, filter="'expires' > now()") )
See Recombee API Client for Python on Github
$client = new Client('database-id', secret_token);

// Send purchase of item 'item_x' by user 'user_42'. Create user and/or item if it doesn't exist yet.
$client->send( new Reqs\AddPurchase('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\UserBasedRecommendation('user_42', 5, ['filter' => "'expires' > now()"]) );
See Recombee API Client for PHP on Github
# Send purchase 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/purchases/
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/users/user_42/recomms/?count=5&filter=expires%27%20%3E%20now()
See more API Documentation

Pricing

Free

$0 / month

Great for trying our service out

  • Full API functionality
  • 99,999 free recommendation requests/month
Create instant account

Standard

From $100 / month

Serious usage in real business

  • Full API functionality
  • Nearly unlimited number of recommendation requests according to the price list
  • Guaranteed response time and availability
  • Full support
  • Service Level Agreement
  • Optimization of models by the AI
Order from $100 / month

Alternative

We can also offer performance pricing (part of the generated additional revenue) for higher volumes. Please contact us for further info.

Team

We’re ahead in innovations and focus on data products. You’ll benefit from 15+ years of our data science experience and top machine-learning research results.

Tomas Rehorek
#product, #engineering, #research
Pavel Kordik
#datascience, #teamlead, #visionary, #ai
Tomas Barton
#devops, #datascience, #infrastructure, #computing
Antonin Kral
#computing, #high-scale, #streaming, #enterprise
Ondrej Fiedler
#programming, #reql, #algorithms, #api_clients
Radek Bartyzal
#models, #optimizations, #ai

Need more information?

support@recombee.com
+420 604 499 078

Get your recommender now

Full API functionality and 99,999 free recommendation requests/month.

Create instant account