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Recommender Systems

Recommender Systems

Recommender systems (or recommendation engines) allow you push content recommendation to your users and allow personalization based on their interests.

Recommender Systems (open-source) (6)

Apache Mahout

What is Apache Mahout? The Apache Mahout™ project's goal is to build an environment for quickly creating scalable performant machine learning applications.


An open source and platform-agnostic machine learning deployment platform that helps data scientists add intelligence to organisations.


LensKit is free and open-source software, available under the terms of the GNU Lesser General Public license version 2.1 or later.


With the open source recommendation engine easyrec you can add recommendations to your website. easyrec is a Java web application providing a REST-API.


A simple Python library for building and testing recommender systems.


HapiGER a Scalable Simple Recommendations Engine

Recommender Systems (SaaS) (11)


A scalable search that learns from your users and adapts, provides search suggestions, and reporting.


"The ability of this solution to intelligently introduce our customers to relevant products across our ever growing assortment made the Baynote solution a sup


Segmentify is a SaaS conversion optimisation tool that helps e-commerce and content websites to convert visitors into customers by smart product recommendations


Peerius is a global leader in intelligent personalisation solutions working with over 250 retailers served from offices in the UK, Germany and the USA.


Social media, press, analytics, infulencer, marketing, facebook, twitter


Get blazing fast search for your website and applications with machine learning powered ranking


Artivatic Data Labs.


Reliable, full featured, and easy-to-use hosted recommendation and similarity service.


Recombee provides an intuitive RESTful recommendation API. Free instant access and easy integration.

Strands Recommender

Strands Retail - Personalization for every kind of online retail store

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