Content-based filtering algorithm in social media

Content-based filtering is a recommendation algorithm that analyzes user activity and profile data to provide personalized recommendations for content matches user's interests preferences. This widely used by social media platforms, such as Facebook Twitter, increase engagement satisfaction. The methodology of content-based involves creating based on recommending the interests. continually updates personalizes feedback, incorporates strategies promote diversity serendipity in recommendations. While has some limitations, it remains powerful tool arsenal offering efficient discovery experiences at scale.