: This is an additional UI layer that overlays on top of the video, likely for interactive elements like buttons or information. Feed Generation Algorithm Generate a personalized vertical video feed using relevance scoring, freshness, and engagement signals. Prioritize content based on user behavior, watch history, and trending metrics. Designed for scalability and real-time updates to keep the feed dynamic and engaging. Example : // Prioritize engaging content
async function generateFeed(userId) {
const videos = await api.video.list({
tags: getUserInterests(userId),
sortBy: 'trending', // Combines views/likes/freshness
filter: { minDuration: 3, maxDuration: 60 } // Short-form only
});
return videos;
} Explanation : async function generateFeed(userId) : This declares an asynchronous function named generateFeed that accepts a userId as a parameter. await api.video.list() : This calls an API to fetch a list of videos. The await keyword pauses execution until the promise returned by api.video.list resolves. getUserInterests(userId) : This is a function (not defined in the snippet, but likely implemented elsewhere) that returns an array of tags representing the user's interests. Step 4: Engagement System & Moderation Implement robust engagement features like likes, comments, and shares to boost user interaction. Integrate moderation tools powered by AI and manual review to ensure content quality and compliance. Balance community safety with seamless user experience for sustained platform growth. Real-time Interactions Enable instant user interactions such as live comments, reactions, and notifications within the video feed. Utilize WebSocket or similar technologies for low-latency communication. Designed to enhance engagement and create a dynamic, interactive experience. Example : // WebSocket for live engagement metrics
const socket = new WebSocket('wss://ws.api.video/engagement');
socket.onmessage = (event) => {
const data = JSON.parse(event.data);
if (data.type === 'LIKE') updateLikeCount(data.videoId);
if (data.type === 'SHARE') triggerNotification();
}; Explanation : sortBy: ' trending ' : This parameter instructs the API to sort the videos based on their trending status. Content Moderation Implement automated and manual content moderation to detect and remove inappropriate or harmful videos. Leverage AI-powered filters alongside human reviews for accuracy and compliance. Ensure a safe and positive environment while maintaining content diversity. Example : # Automated moderation webhook
curl -X POST https://api.api.video/v1/webhooks \
-H 'Authorization: Bearer YOUR_API_KEY' \
-d '{
'events': ['video.uploaded'],
'url': 'https://your-api/moderation',
'secret': 'YOUR_SECRET'
}' Explanation : curl : A command-line tool used to make HTTP requests. It's often used to interact with APIs. POST : This is an HTTP method used to send data to the server. In this case, the request is being made to the api.video platform to register a new webhook. https://api.api.video/v1/webhooks : This is the API endpoint for managing webhooks in the api.video platform. -H : The Authorization header is used to authenticate the API request. 'Bearer YOUR_API_KEY' : The Bearer token is a form of authentication where the YOUR_API_KEY is replaced with your actual API key from api.video. 'events' : This field specifies the types of events that will trigger the webhook. 'secret' : This is a shared secret that can be used for security purposes. Best Practices for Viral Apps Implementing the following best practices ensures smooth video playback, effective user engagement, and efficient content moderation. These strategies help optimize performance and user experience in TikTok-style video applications. Latency Reduction for Smooth Playback Leverage the PLAYER_READY event to start playback as soon as the player is ready, eliminating unnecessary delays. You can use the following code to trigger playback immediately after the player signals readiness: player.on('PLAYER_READY', () => player.play()); Pre-warming CDN connections can help reduce latency. By sending a HEAD request to the CDN before the video is requested, you ensure that the edge node closest to the user is warmed up, delivering the first video instantly: fetch('https://cdn.api.video/vod/VIDEO_ID/stream.m3u8', { method: 'HEAD' }); Engagement Optimization Preload the next video when the current video reaches 90% completion, ensuring a smooth transition between videos. This can be achieved using the following code: player.on('timeupdate', (currentTime) => {if (currentTime / player.duration > 0.9) preloadNext(); }); Auto-scrolling to the next video or enabling swipe gestures will maintain user engagement and allow for a seamless viewing experience. Additionally, delaying the display of interactive elements like likes and comments helps to keep the focus on the video content for the first few seconds. Content Moderation Use AWS Rekognition to automatically detect inappropriate content such as nudity in uploaded videos. The following code snippet demonstrates how to trigger AWS Rekognition: rekognition.detect_moderation_labels({ Image: { S3Object: { Bucket: 'your-bucket', Name: 'your-video.mp4' } } }); Flag videos with high skip rates, which may indicate poor content quality. Use this SQL query to identify videos with a high skip rate: SELECT video_id FROM engagement_metrics WHERE skip_rate > 0.05; Analytics-Driven Optimization To optimize playback quality based on actual usage data, query the average watch time for different video resolutions under mobile conditions. This helps to adjust streaming profiles for a better user experience, especially in 4G networks: SELECT resolution, AVG(watch_time) FROM playback_metrics WHERE connection_type = '4G' GROUP BY resolution;