Recombee icon
Recombee icon

Recombee

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Recombee is a Recommender system as a service that uses data mining, flexible query language, and variety of machine learning algorithms (including collaborative filtering and content-based recommendation) through intuitive, real-time RESTful API.

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License model

  • Free PersonalProprietary

Platforms

  • Online
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Recombee information

  • Developed by

    Recombee
  • Licensing

    Proprietary and Free Personal product.
  • Alternatives

    4 alternatives listed
  • Supported Languages

    • English

Our users have written 0 comments and reviews about Recombee, and it has gotten 2 likes

Recombee was added to AlternativeTo by tregoreg on Feb 27, 2017 and this page was last updated Nov 6, 2020.
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What is Recombee?

Recombee is a real-time Recommendation-as-a-service (SaaS). It offers an intuitive RESTful API, excellent documentation and SDKs in many different languages (Java, Python, PHP, Ruby,...). It is domain-independent and has successful applications in areas such as job offers, news, online retail, cultural events, video-on-demand or mobile apps. Even the most complex business rules and requirements can be expressed using innovative filtering/boosting query language (ReQL), allowing the engine to be customized even for the most demanding customers.

The models are fully real-time, the recommendations immediately react to user's actions (views, purchases, bookmarks, etc.). It always adapts to the available data, which may be user interactions (for collaborative filtering) or item descriptions (for text-mining/content-based-recommendation). Larger data (interactions from the past, catalog of items) can be submitted in batch requests.

The service is FREE for up to 99,999 recommendation requests per month (all data uploads are free of charge), but horizontally scalable for large traffic (can deliver more than 500 recommendations/second).

Recombee also provides intuitive graphical user interface (GUI) which allows you to monitor you KPIs (such as CTR/CR) in near real-time. No matter the domain, the use-cases include homepage personalization, similar items recommendation, personalized emailing campaigns, search results sorting etc. These different scenarios (places where the recommendation is being used) are independently optimized by Artificial intelligence (AI), which uses AB/multivariate testing to automatically construct the right model ensembles and fine-tune their parameters.

Recombee is AI at your service!