Recombee Partners With Axinom to Enhance Video Streaming Experiences

This collaboration is set to introduce a new era of personalized and engaging digital user experiences.

Jan Valuch
Mar 20
Partnerships
Personalization

Modern Recommender Systems - Part 2: Data

Data used by modern recommenders and how we can measure progress towards goals.

Pavel Kordik
Mar 07
Recommendation Engine
Personalization

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.

Adela Sloupenska
Mar 05
Personalization
Integrations
Partnerships

Is This Comment Useful? Enhancing Personalized Recommendations by Considering User Rating Uncertainty

Picture this: you're on the hunt for the perfect new smartphone, browsing through your favourite online electronics store. The online store’s recommendation engine pops up with what it thinks could be your possible next gadget love...

Rodrigo Alves
Mar 01
Recommendation Engine
Personalization

Recombeelab's 2023 Research Publications

Recombeelab, a joint research laboratory of Recombee and the Faculty of Information Technology at the Czech Technical University in Prague, experienced a highly productive year in 2023, publishing a series of insightful and impactful papers in the field of recommendation systems.

Rodrigo Alves
Jan 19
Recommendation Engine
Personalization

AI News and Outlook for 2024

We look at the most interesting research directions and assess the state of knowledge in key areas of AI. We'll also estimate future developments in 2024 so you know what to prepare for.

Pavel Kordik
Jan 16
Recommendation Engine
Personalization

AI Assistants Know Your Preferences, Even Better Than You Do

Recommender systems and ethical controversies

Pavel Kordik
Nov 23, 2023
Recommendation Engine
Personalization

The AI (R)Evolution in the Media Industry

In today's digital age, personalization has become the cornerstone of the media industry. Whether it's tailoring content recommendations, refining marketing strategies, or enhancing user experiences...

Anna Dolezelova, Petr Popov
Oct 23, 2023
Recommendation Engine
Personalization

Modern Recommender Systems - Part 1: Introduction

How machine learning methods simplify item discovery and search.

Pavel Kordik
Apr 17, 2023
Recommendation Engine
Personalization

Explaining Recommender Systems to Product Owners

In my presentation at the Data Technology Seminar organized by the European Brodcasting Union, I have focused on demonstrating that recommender systems can actually help public media organizations to better fulfill their role in society and reduce content distribution biases.

Pavel Kordik
Mar 27, 2023
Personalization
Recommendation Engine

Inductive Matrix Completion: How to Improve Recommendations for Cold Start Users and Items by Incorporating Their Attributes

Matrix completion (MC), the problem of recovering the missing entries of a partially observed matrix, has found use in a wide range of domains. Still, its potentially most successful application is as a collaborative filtering technique for recommender systems (RSs)...

Rodrigo Alves
Mar 20, 2023
Personalization
Recommendation Engine

Breaking the News: The Role of AI in Modern Journalism

Artificial Intelligence (AI) has rapidly transformed the media industry in recent years. From automated news production to trend analysis and personalized content recommendations, AI has brought significant changes to the way media is created, distributed, and consumed.

Tana Lancova
Mar 14, 2023
Recommendation Engine
Personalization

Keeping Up With Digital Media Convergence

At Recombee, we felt the transition within the media industry accelerated by the pandemic. OTT and CTV consumption ballooned at a significant rate.

Anna Dolezelova
Oct 8, 2022
Personalization

Real-Time Personalization of Content With AI-Powered Recommendations

Do you manage a publishing company, online gaming platform, or a streaming site with a content-heavy catalog and are thinking about how to improve the user experience?

Karen Harazimova
Sep 16, 2022
Personalization

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

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

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