Jun 24
SHIELD: The Universal Framework Making AI Search Safer for Everyone
Imagine searching for "glass tubing" and getting recommendations for drug manufacturing equipment. As AI-powered search becomes ubiquitous — from online marketplaces to social networks...
Making Recommendations Fairer: A New Way to Guarantee Exposure for All
As recommender systems become more widespread across digital platforms, concerns around fairness are coming to the forefront. Standard relevance-based ranking techniques, while effective...
Apr 29
Build vs. Buy: Deciding the Best Approach for Your Recommender System
When it comes to deciding between buying a recommender system and building one from scratch, the choice isn’t always straightforward. Both options come with their own set of pros and cons...
Mar 14
Are You Here to Stay? Unraveling the Dynamics of Stable and Curious Audiences in Web Systems
Why do influencers frequently request their subscribers to enable all notifications for their channels? This practice stems from their awareness that not all subscribers are regular...
Mar 03
Recombee Research 2024
Recombee has always been deeply connected to academia, with four of our six co-founders holding Ph.D. degrees. Over the years, our investment in research has grown alongside our company and the increasing demand for advanced features in the market.
Feb 23
Key Trends in News & Media for 2025 and the Role of AI-Powered Solutions
The way news is produced, delivered, and consumed keeps shifting, and as we move through 2025, a few big changes have become impossible to ignore.
Feb 20
2024 Wrap-Up
As we wrap up 2024, let’s take a moment to celebrate the milestones we’ve achieved together. Your collaboration and feedback have been at the heart of our progress. Here’s a quick recap of last year’s highlights.
Jan 27
Celestial Tiger Entertainment launches new Chinese Movie app, CMGO, with DIAGNAL
With Recombee’s AI-powered recommendation engine working with DIAGNAL Enhance, CMGO serves up personalised experiences for each viewer, driving engagement for the service.
Nov 14, 2024
Video Recommendations Made Easy: Integrating Axinom Mosaic with Recombee
In this webinar we look into building a data-driven video backend geared towards personalized video recommendations, integration with Axinom Mosaic, and how to transform user experiences on streaming platforms.
Sep 09, 2024
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.
Mar 20, 2024
Modern Recommender Systems - Part 2: Data
Data used by modern recommenders and how we can measure progress towards goals.
Mar 07, 2024
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.
Mar 05, 2024
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...
Mar 01, 2024
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.
Jan 19, 2024
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.
Jan 16, 2024
AI Assistants Know Your Preferences, Even Better Than You Do
Recommender systems and ethical controversies
Nov 23, 2023
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...
Oct 23, 2023
Modern Recommender Systems - Part 1: Introduction
How machine learning methods simplify item discovery and search.
Apr 17, 2023
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.
Mar 27, 2023
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)...
Mar 20, 2023
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.
Mar 14, 2023
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.
Oct 8, 2022
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?
Sep 16, 2022
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.
May 6, 2021
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...
Nov 10, 2020
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)…
Dec 18, 2016
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…
Aug 23, 2016
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…
Mar 30, 2016
