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Engage Readers with Personalized, Real-Time Recommendations

Recombee’s advanced 1:1 content personalization is designed to boost engagement metrics and maximize subscriber lifetime value while preserving the editorial voice.

Articles, News, Media
  • The Telegraph
  • 9GAG
  • Grow
  • Mediavine
  • FTV Prima
  • The Sporting News
  • Vltava Labe Media

Use Cases

  • Articles For You

    Boost engagement by delivering personalized, 1:1 article recommendations based on user's interests and browsing history.

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  • Related Articles

    Enable users to discover content that’s contextually relevant, and personalized to their immediate reading experience.

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  • Trending Articles

    Highlight the hottest local articles in each user's region, showcasing the diversity and relevance of your platform.

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  • Search Articles

    Make finding articles easy with full-text search capabilities, ensuring desired content is found within a few keystrokes.

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  • Periodic Newsletters

    Enhance the discovery experience through personalized emails with articles tailored to the user's unique preferences.

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  • Personalized News Feed

    Automate and customize each user's news feed rows, delivering 1:1 personalization for a highly tailored experience.

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News & Articles Recipes

Discover how to personalize key use cases within your news platform.

Explore Integration Recipes
"We use Recombee to power our AI personalization & Search at The Telegraph. It immediately proved its value, securing a 35% CTR uplift in an A/B test against a competing solution while simultaneously enhancing our editors' ability to manage and analyse content performance. Beyond the numbers, the collaboration with the Recombee team has been excellent, they helped us push our thinking and we were delighted to jointly present at the RecSys conference and be recognized as an INMA '26 finalist for "Best Use of Generative AI"."
Tom Kelleher
Tom Kelleher
Director of Emerging Technology – AI & Personalisation at The Telegraph

Deliver Breaking News in Real Time

Be the first to present emerging topics in real time, positioning your platform as the go-to source for breaking news.

Increase Reader Engagement and Ad Revenue

Optimize CTR, average session duration, and recirculation rate with tailored content, even for niche topics.

Acquire & Retain Subscribers

Boost, filter, or segment content effortlessly with Recombee's advanced business rules, delivering high-converting recommendations and keeping subscribers engaged through compelling newsletters.

Human-In-The-Loop: Achieve Better Results with Editors in Charge

Blend the scalability of AI with the expertise of human editors using easily configurable rules in Recombee’s interface or through its seamlessly integrable API.

Enhance Content Discoverability With Diverse Recommendations

Combat filter bubbles and echo chambers with varied suggestions powered by scientifically-backed algorithms.

Handle Large Traffic Peaks and Nationwide Events

Utilize Recombee’s scalable solution to handle high-traffic events, ensuring real-time personalized recommendations for all users.


Recombee Insights

Real-Time Analytics & Insights

Unlock in-depth data analysis with Recombee’s Insights tool, accessible through the Admin UI.

  • Empower editors and product teams with insights on recommended articles, popular topics, categories, and more.
  • Visualize data, create custom reports, and seamlessly share insights with your team.
  • Choose from a library of analytical views or build custom graphs and reports.
  • Leverage analytical data to refine rules and ensure the recommender engine aligns with your product vision.
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Enhance Editorial Efficiency, Increase Subscriptions, and Boost Emerging Topics in Real-Time

With new content emerging every minute, maintaining a deep connection with individual readers is increasingly challenging. Recombee's AI swiftly identifies sudden emerging topics and prominently features them on your site, driving traffic and ensuring you remain the go-to platform for trending news.

Predictive algorithms analyze content attributes and reader behavior to recommend the most relevant articles. Our models recognize users’ preferences within milliseconds, providing real-time recommendations—even to unknown or first-time visitors. Recombee offers the application of boosters and filters, allowing for the automatic organization of content, such as boosting premium content or editorial picks.

The recommendation engine analyzes each content property, including title, date of publication, author, tags, expiration date, lead paragraphs, and paid/unpaid status, applying Natural Language Processing (NLP) in 80 languages.

It reacts to each new click or newly released content immediately, analyzing interactions like detail views, bookmarks, scroll rates, and likes.

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Case Studies


Core Technology

  • Adapting to Your Data

    A robust system that utilizes all available data to generate high-quality recommendations for users, incorporating content-based models and Natural Language Processing (NLP).

  • Dynamically Retrained Models

    Real-time content personalization that adapts to evolving customer preferences while addressing the rapidly changing media landscape.

  • Industry-Specific Functionalities for News and Articles

    Deep Natural Networks that recognize emerging topics and automatically prioritize trending content suggestions.

  • AI-powered A/B Testing

    In-house AutoML AI that maximizes KPIs and continuously optimizes deep learning algorithms.

  • Advanced Business Rules

    Customizable boosters and filters that highlight desired content, with easy-to-adjust rules for further content optimization.

  • Real AI Inside

    Reinforcement learning and advanced algorithms recognize user preferences within milliseconds to deliver real-time recommendations, including the boosting of premium content.

"We conducted A/B testings of multiple recommendation engines to find the best content personalization solution. Out of all solutions, only Recombee outperformed our internal read-next recommendations of news articles. After long-lasting A/B testing, Recombee achieved a 40% higher CTR of suggested articles, which ultimately led to the deployment of the solution to most of our news sites (iDNES, Lidovky, Expres)."
Petr Kelin
Manager at MAFRA, a.s.

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