Our video recommendation system is designed to suggest videos that are tailored specifically to your interests and viewing habits. Here's how it works:
- Understanding Your Preferences: We analyze your past activity, such as the videos you've watched, liked, or skipped, to understand what types of content you prefer. We also look at how long you watch videos to help determine what you find most engaging.
- Personalizing Your Experience: Based on your viewing history, the algorithm creates a personalized profile that helps us recommend videos you're most likely to enjoy. For example, if you frequently watch videos in a certain genre or at a specific time of day, we'll consider these factors when suggesting new videos.
- Fresh and Varied Content: We prioritize recommending fresh, new content so you can discover the latest videos. At the same time, we aim to keep the suggestions varied—meaning you won’t just see similar videos all the time.
- How We Choose Videos: Every video is given a score based on how well it matches your preferences. The higher the score, the more likely it is you'll enjoy the video. We also add a touch of randomness to make sure you’re not stuck in a loop of the same kinds of content.
- Keeping Track: As you interact with videos, we continually update your profile, learning more about your preferences and adjusting our recommendations to keep them relevant.
Our goal is to help you find content you'll love, based on your unique interests and viewing habits.