# Real-Time Collaborative Filtering & Text Processing > Source: https://www.recombee.com/case-studies/mafra > For the complete site index, see [llms.txt](/llms.txt). To integrate Recombee, see the developer documentation at https://docs.recombee.com/llms.txt. [Success Stories](https://www.recombee.com/case-studies) # Outperforming and Replacing In-House Recommender System of News Articles Mafra [Articles, News, Media](https://www.recombee.com/domains/articles-news-media) [Content Recommendations](https://www.recombee.com/content-recommendations) ![](https://www.recombee.com/img/case-studies/mafra.png) Headquartered in Prague, Mafra is the largest media group on the Czech market delivering the latest local and foreign news. Its online activities reach up to 8 million monthly users, with up to 45 million recommendation requests per month. Recombee’s smart content recommendations helped Mafra personalize news to each of their readers across three online media outlets ([iDnes](https://www.idnes.cz/), [Lidovky](https://www.lidovky.cz/), [Expres](https://www.expres.cz/)) and emailing to their premium users. Implementation of Recombee’s sophisticated system has led to a significant increase in both click-through rate and readers’ satisfaction. 40% Higher CTR of suggested articles 25% Improvement in emailing CTOR ### Situation * Desire to find the right content personalization solution (replacing in-house solution) * Potential to deploy across various media brands * Huge traffic consisting of millions of monthly readers ### Requirements * Targeting specific content to the people who will find it most relevant * Retaining consumers’ trust by providing unbiased information and recommendations * Email personalization for iDNES Premium users ### Solution * **Above 65 distinctive scenarios** on different websites and various platforms * **Enriching the cultural life of consumers** by encouraging the discovery of new content and information * **Real-time** collaborative filtering, text processing and reinforcement learning * Overcoming small amount of fully sorted articles to still provide **highly personalized emails** ### Benefits & Results * **Highly outperformed** internal read-next recommender system * **40% increase** in click-through rate of suggested articles * **25% improvement** in emailing click-to-open rate compared to the previous solution * **Time saved** by automatically organized content and **increase in user engagement** ### Scenarios ![mafra](https://www.recombee.com/img/case-studies/scenarios/mafra-1.png) #### Read Next Items to User scenario used across three different media outlets - idnes.cz, lidovky.cz and expres.cz. Personalized recommendations at the bottom of each article to maximize user engagement and important KPIs like ATS (average time spent) and PVs (page views) per session. Thanks to a sophisticated combination of real-time collaborative filtering, text-processing, and reinforcement learning models, Recombee is able to immediately respond to newly published articles, and even automatically identify breaking news, making sure that users are always offered highly relevant content that they shouldn't miss. ![mafra](https://www.recombee.com/img/case-studies/scenarios/mafra-2.png) #### Emailing for Premium Users The scenario used in the emailing campaigns recommending fresh daily premium content for subscribed users. Significant increase of the CTOR, despite a relatively small set of articles being sorted for each user every day (there are about 20 daily Premium articles). The solution benefits from the live recommendations deployed on-site, where a lot of feedback is collected about user engagement with the freshly published articles just before the campaign is executed. Thanks to Recombee real-time collaborative filtering and reinforcement learning models, even a few of the exposure to the newly published articles bring enough data for an excellent performance. “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 **40% higher CTR of suggested articles,** which ultimately led to deployment of the solution to most of our news sites (iDNES, Lidovky, Expres).“ **Petr Kelin** Manager at MAFRA, a.s. ![Mafra](https://www.recombee.com/img/logos/mafra.png) ### About Mafra The MAFRA Media Group reaches its diverse pool of readers and site visitors through print and internet media. Offering exclusive content and quality entertainment with fresh news for the local demography, Mafra provides clarity and easy orientation of the latest events. Their portfolio covers products from every spectrum of the media market, including newspapers, magazines, video portals, tv stations, virtual operators, and radios. 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