Content personalization with machine learning, also called predictive content personalization is an advanced AI-driven approach to dynamically display the most relevant content to each user.
Machine Learning (ML) is used in web development to provide an improved experience to users.
Developers use ML to enable software to analyze incoming data, detect patterns and personalize content.
Many leading companies use this technology to enhance user experience.
For instance, Airbnb and Netflix use ML to customize search results for their users.
ML helps you to personalize content without targeting a whole segment of users.
You can identify each user particularly, and cater to their interests.
The algorithms provide tailored content based on user intentions.
Content personalization with ML is an amazing trend that allows you to adjust your content by analyzing visitor behavior.
Benefits of Content Personalization with ML in Web Development
Besides personalizing content with the advanced feature of ML, developers can make use of this technology to:
- Analyze the site navigation paths, view durations, etc.
- Get more insights than they traditionally gain from A/B testing.
- Optimization of web pages becomes much easier.
User examples:
- Yelp