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Blog

We Develop Global Recommendation Service and Share Our Insights Here

Advancing Your Career in Artificial Intelligence with prg.ai and Recombee

At Recombee, we have always collaborated with academia — after all, five of our co-founders graduated from the Czech Technical University in Prague, one of the largest and oldest technical universities in Europe, and most of them hold a Ph.D. degree.

Karen Harazimova
Nov 21

Linear Methods and Autoencoders in Recommender Systems

Linear regression is probably the simplest and surprisingly efficient machine learning method. It should be the method of your first choice, according to the famous KISS principle. Also, it often works better than sophisticated methods, because it is...

Pavel Kordik
Sep 7
Recommendation Engine

Recombee Real-Time AI Recommendations as the New Destination in Segment

Segment has enabled its users to enjoy Recombee personalization services without the need to leave their platform and with minimum coding involved. With a few simple clicks, domains using Segment can upgrade their services to maximize the digital experience for their customers.

Karen Harazimova
Jul 9
Personalization
Integrations

Recombee and Kentico Xperience: Guide to One-on-One Personalization

Recombee expanded its integration options - and now is available at the Kentico Xperience platform! Analyzing different types of personalization, we look into why Kentiko chose our AI-powered recommendation engine over manual segmentation.

Gabriela Takacova
May 6
Personalization
Recommendation Engine

Recombee in 2020: New Features and Improvements

We know that this year has been quite challenging for many people, including ourselves. However, today we want to focus entirely on the positive (no pun included) side of the year and the stuff we are the proudest of.

Ondra Fiedler
Dec 30
New Features

Deep Learning for Recommender Systems: Next basket prediction and sequential product recommendation

Accurate “next basket prediction” will be enabling next generation e-commerce — predictive shopping and logistics. In this blogpost, we will discuss the deep learning technology behind next basket...

Pavel Kordik
Nov 10
Personalization
Recommendation Engine

How interdisciplinary collaboration can accelerate AI innovation

In a world where innovation is the new standard, Recombee uses the power of interdisciplinary collaboration to stay at the cutting edge of innovation. Partnering up with the leading player in the food industry (Bofrost) and academia (FIT CTU), allowed Recombee to hold a student competition to create AI which can shape the future of the food industry.

Pavel Kordik
Sep 1

Introduction to personalized search

Personalized search should take into account user preferences and interactions of similar users. We combined search engine and recommender.

Pavel Kordik
Mar 24

Recombee in 2019: New Features and Improvements

This year was really huge for us. We worked on new features so hard that we almost forgot to write a blog post about them :)

Tomas Rehorek
Dec 15, 2019
New Features

Check out our new client-side integration support and deploy personalized recommendations faster

We knew we had to bring something new to the table, when participating as a Beta Startup at Web Summit, the largest technology conference…

Ondra Fiedler
Jan 7, 2019
Recommendation Engine

Machine Learning for Recommender systems — Part 2 (Deep Recommendation, Sequence Prediction, AutoML…

In the first part of our talk, we discussed basic algorithms, their evaluation and cold start problem. Below we show how deep learning…

Pavel Kordik
Jun 7, 2018
Recommendation Engine

Machine Learning for Recommender systems — Part 1 (algorithms, evaluation and cold start)

Recommender systems are one of the most successful and widespread application of machine learning technologies in business. There were many…

Pavel Kordik
Jun 3, 2018
Recommendation Engine

Migrating to Recombee from Microsoft Cognitive Services Recommendations

Microsoft has recently discontinued the Recommendations within the Azure Cognitive Services (MCSR). If you used this service, you are…

Ondra Fiedler
Mar 22, 2018
Recommendation Engine

Personalized push notifications enabled by artificial intelligence

Recent progress in artificial intelligence enables us to design proactive AI systems. Whereas traditional recommender systems produce…

Pavel Kordik
Mar 4, 2018
Recommendation Engine

Personalized recommendations in 10 minutes

We have just released a video tutorial that will guide you through the integration of the Recombee recommendation service to your…

Ondra Fiedler
Jan 11, 2017

Evaluating Recommender Systems: Choosing the best one for your business

Together with the endless expansion of E-commerce and online media in the last years, there are more and more Software-as-a-Service (SaaS)…

Tomas Rehorek
Dec 18, 2016
Personalization
Recommendation Engine

The value of personalized recommendations for your business

The e-commerce boom makes online environment more competitive. Internet retailers seek competitive advantages and a personalized experience…

Pavel Kordik
Aug 23, 2016
Personalization
Recommendation Engine

Recommender systems explained

In this article, I overview broad area of recommender systems, explain how individual algorithms work.

Pavel Kordik
Jul 12, 2016
Recommendation Engine

Generating client libraries for Recombee recommendation API

Client libraries help programmers to integrate an API into their systems in a faster, easier and more readable way. We have recently published clients for Ruby and PHP, and we wish to provide clients for other major programming…

Ondra Fiedler
May 17, 2016

Personalized recommendations in Ruby

For those of you, who develop in Ruby, we prepared a simple client application enabling you to benefit from our personalized recommendations.

Pavel Kordik
May 16, 2016
Infrastructure
Recommendation Engine

Artificial Intelligence in the Cloud

At Recombee, we “think big”, and prefer making big leaps in technology over taking small steps. Our team has been involved in data science and artificial intelligence research for many years. Beginning in 2012, we began to capitalize our knowledge and experience, developing products which…

Pavel Kordik
Mar 30, 2016
Personalization
Recommendation Engine