Social networks and media

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In social media, content personalization is becoming the basis for targeted advertising and recommendations. Algorithms like the one used by Facebook analyze users’ interests, their interactions with content, and their online behavior to show them the ads and posts that are most likely to resonate.
Example: On the Instagram platform, algorithms analyze which posts a user likes, comments on, or finds interesting, and based on this, create personalized recommendations.
Financial and banking services
Financial institutions are also bulk sms saudi arabia making heavy use of content personalization. Banking apps, for example, can offer users personalized offers for credit cards, mortgages, or investment services based on their financial history, income, and spending habits.
An example is the Revolut app, which, based on the user's transactions, offers various promotions and tariffs that are suitable for him. This not only increases customer loyalty, but also helps increase the company's profits.
Education
Educational platforms such as Khan Academy or Coursera personalize courses for each student based on their learning pace, level of knowledge, and preferences. Platforms can recommend additional materials or offer special courses that will help the user achieve faster and better learning results.
In addition, personalization in learning can include adaptive tests that change depending on the student's level of knowledge, as well as dynamic recommendations for materials based on previous successes and mistakes.
Modern technologies of content personalization

Personalization technologies have improved significantly in recent years. The advent of artificial intelligence and machine learning has opened up new possibilities for analyzing data and creating content in real time. Let’s look at some of the key technologies that are impacting personalization.
Machine learning and AI