Smart recommender technology for news providers


The START AI initiative aims to support companies in their intention to explore AI applications by valorising their data.

If your company is eligible, ML2Grow will guide your company for three days to explore the possibilities of AI/data to identify the most relevant applications for your organisation.

Together with our team:

  • Evaluate the value of the available company data (internal & external)
  • Identify if there are relevant AI/data projects within your business context
  • Determine which stakeholders and experts to involve in your potential projects
  • Get tips & tricks with which you can better estimate the added value of your possible AI projects
  • Map the next steps in your AI journey

ML2Grow’s services will cover three days and include preparation, analysis and reporting, and participation in meetings (onsite or remote). These services will be provided over a maximum of 4 months (between the beginning of June and the end of September 2022).

The intervention of ML2Grow could lead to the conclusion that AI applications are not relevant for the participating company. In this case, the guidance will mainly focus on coherent data management to promote potential data projects.

Who can participate?

Any SME (max. 250 employees), organisation or association, starting or established, regardless of its digital maturity or sector.


The cost for participation is €1625 excl. VAT

This corresponds to 30% of the fair value of the guidance.

Are you interested in participating?

Contact our team before the 15th of May if you are interested in this offer.

We will happily answer all of your questions and support the application procedure.



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Tailor-made news

NewsTAPAS is an innovative system developed by ML2Grow, in collaboration with Roularta Media Group, VRT & Imec. This system will be able to adapt content to the needs and context of the user. A content recommender system is nothing new, but what makes NewsTAPAS unique is that it not only will allow news providers to automatically adapt the news messages to the profile of the user, but also to the type of device, time of day and location.

We want to increase the attention span of the user by tailoring their news experience and keeping an overload of information to a minimum. This will greatly increase your user experience.

NewsTAPAS is an innovative system developed by ML2Grow, in collaboration with Roularta Media Group, VRT & Imec. The NewsTAPAS project is a response to the growing demand for automation and personalisation of the way in which news items are displayed.

The problem

People feel overloaded with information and overwhelmed by digital distractions which reduces their attention span. This makes it harder to reach and retain an audience of readers. Recommendation systems currently approach this problem by selecting the news items that best match a user’s profile, but this does not hold the user’s attention.

Our solution

Our intention was to improve the user experience by helping increase the user’s attention span and keeping information overload to a minimum.

Each publisher stores articles in a standardised way in its content repository. The different parts of each article are classified (e.g. the title, introduction, by-line, paragraphs, photo) and can be used to show the article in different ways to users. This is based on information such as the type of device used, time of day, interests and reading the history of the user. We turned to machine learning to create a profile of readers based on their behaviour. We then determined which parts of an article best meet their needs.

Our recommender system allows you to predict which articles will be most relevant to a reader depending on how much interest a reader shows in a particular type of new article. The system can adapt content to the needs and context of each user. While this type of system is not new, NewsTAPAS is unique because it enables news providers to not only adapt their news messages to reader profiles, but also to the type of device used and the time of day and location.

Work carried out

Recommender system – identifies the most relevant information in a text and rewrites the content in a more concise form

How we added value

  • News content is automatically adapted – according to the type of device, time of day and location of the reader
  • Raised the attention span of users
  • Enhanced the user experience
ML2Grow its flexibility combined with powerful AI solutions that can achieve our goals, makes ML2Grow a sustainable AI-partner
—  Erwin Danis, Director of Innovation Roularta Media Group


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