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Bandit Models: Exploiting Popularity and Curiosity to Recommend Trending Content

Humans are inherently curious. In fact, curiosity is linked to the evolution of humankind. For instance, according to famous historian Yuval Noah Harari in his bestseller book "Sapiens", our language skills evolved as a way of gossiping...

Rodrigo Alves
Oct 16
Recommendation Engine

Visual and Interactive Evaluation of Recommender Systems

When building modern real-world artificial intelligence systems, it is increasingly important to validate that the system works correctly. This is however not an easy task. Existing tools for machine learning practitioners...

Pavel Kordik
Sep 19
Recommendation Engine

Making Linear Autoencoders Work for Large Scale Recommendation Systems

Linear autoencoders for collaborative filtering in recommender systems are simple and surprisingly accurate as we explained in our blogpost on how linear methods work. The critical disadvantage of methods like EASE is that they are not applicable to real-world problems...

Vojtech Vancura
Aug 29
Recommendation Engine

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, 2021
Recommendation Engine

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, 2021
Personalization
Recommendation Engine

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, 2020
Personalization
Recommendation Engine

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

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

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