TikTok’s algorithm personalizes the video feed based on user interaction. A deviation from expected video content may stem from several factors influencing this personalization process. These factors include recent changes in viewing habits, algorithm updates by TikTok, or adjustments to privacy settings.
Understanding the underlying mechanisms that drive content selection is crucial for optimizing the user experience. A tailored feed provides content that aligns with individual preferences, enhancing engagement and platform satisfaction. Historically, algorithms have evolved to become increasingly sophisticated in predicting user interests.