Picture this: your phone buzzes. It's your streaming app, and for once the notification is the one you actually wanted: "LIVE: your team just went 1–0 up, 78th minute”.
Personalization is never finished. Every change to your recommendation strategy raises new questions. Should you boost fresh content? Change used Logic? Introduce new filters?
The digital world continues to change at an incredible pace. As technology evolves and user expectations keep rising, creating experiences that feel relevant has never been more important.
In 2025, I became Head of Research at Recombee. I knew it would be a challenge: and I wasn’t wrong. Recombee is a leader in recommendation-as-a-service, with thousands of clients...
2025 marked 10 years of Recombee. A decade of building personalization from first principles, shaped by research, real-world deployments, and close collaboration with partners across industries.
In 2025, we focused on making advanced personalization easier to implement, scale, and maintain across products and platforms. Here’s a look at the key product updates we released last year.
Here’s what caught my attention in AI research lately, and where things might be heading in 2026. After 25+ years in this field, the pace has gotten hard to keep up with. I’m trying to make sense of...
Prague, 11th September 2025 – Recombee, a leading AI-powered recommendation platform, has announced a strategic partnership with The Telegraph...
Learning objectives of recommender systems and personalized search.
Personalization can be achieved without compromising user privacy. While many personalization systems have historically relied on practices now considered intrusive, like...
At Recombee, we don't just excel at recommendations – we provide powerful full-text search capabilities too. Our Quick, No-Code Search Widget exemplifies this, offering a seamless...
From ancient trade routes to modern urban planning, geography has consistently shaped human decisions and opportunities. Today, in the world of online business and personalized recommendations...
Imagine searching for "glass tubing" and getting recommendations for drug manufacturing equipment. As AI-powered search becomes ubiquitous — from online marketplaces to social networks...
As recommender systems become more widespread across digital platforms, concerns around fairness are coming to the forefront. Standard relevance-based ranking techniques, while effective...
This year is already off to an exciting start, and we’re rolling out new tools to improve efficiency and optimize recommendations. Here’s what’s available and what’s coming next.
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...
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...
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.
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.
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.
With Recombee’s AI-powered recommendation engine working with DIAGNAL Enhance, CMGO serves up personalised experiences for each viewer, driving engagement for the service.
In the fast-evolving world of recommender systems, understanding both how users interact with content and the actual content itself is crucial. Many existing recommender systems struggle to balance these two aspects...
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.
Insights, the analytics section of our Admin UI, offers various predefined and fully customizable reports to track recommended items and how users interact with these recommendations.
This collaboration is set to introduce a new era of personalized and engaging digital user experiences.
The digital landscape and customer preferences and behavior are changing faster than ever now. To help our clients stay on top of the game, our team has focused on developing innovative features...
Data used by modern recommenders and how we can measure progress towards goals.
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.
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...
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.
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.
Recommender systems and ethical controversies
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...
How machine learning methods simplify item discovery and search.
In my presentation at the Data Technology Seminar organized by the European Broadcasting 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.
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)...
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.
The digital world is changing; users' expectations for personalization are increasing, and our Recombee features are continuously improving. One of our focuses is to support our clients in providing the best possible user experiences...
Item Segmentations are Recombee's original and elegant solution to various advanced tasks related to hierarchical and relational data. The feature provides a flexible way to group items (products or pieces of content) into segments...
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...
At Recombee, we felt the transition within the media industry accelerated by the pandemic. OTT and CTV consumption ballooned at a significant rate.
Do you feel there is a potential to increase your success with customers through an efficient recommender engine? You're highly likely right. Adding a recommender service to your emailing campaigns gives each client tailored product recommendations in all of their emails.
In this article we walk you through how we are using the AI recommendation engine Recombee embedded in our headless CMS StoryBlok to drive content recommendations throughout our own website.
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...
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?
Thanks to its API-first nature, it is quite straightforward to integrate your headless CMS with the most powerful AI-powered content recommendations available on the market. Luminary just did that with their own website, Kontent.ai and Recombee.
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...
Like most of the world, the majority of 2021 was spent on home office or in isolation - which left us with all the time to be invested in work (and Netflix :) ) and improving UX for our clients. We are now happy to share new features we can offer to reach new levels of personalization.
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.
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...
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.
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.
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...
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.
Personalized search should take into account user preferences and interactions of similar users. We combined search engine and recommender.
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 :)
We knew we had to bring something new to the table, when participating as a Beta Startup at Web Summit, the largest technology conference…
In the first part of our talk, we discussed basic algorithms, their evaluation and cold start problem. Below we show how deep learning…
Recommender systems are one of the most successful and widespread application of machine learning technologies in business. There were many…
Microsoft has recently discontinued the Recommendations within the Azure Cognitive Services (MCSR). If you used this service, you are…
Recent progress in artificial intelligence enables us to design proactive AI systems. Whereas traditional recommender systems produce…
We have just released a video tutorial that will guide you through the integration of the Recombee recommendation service to your…
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)…
The e-commerce boom makes online environment more competitive. Internet retailers seek competitive advantages and a personalized experience…
In this article, I overview broad area of recommender systems, explain how individual algorithms work.
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…
For those of you, who develop in Ruby, we prepared a simple client application enabling you to benefit from our personalized recommendations.
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…
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