It describes a fully open‑source Bilibili‑style video platform built with SpringBoot backend and Vue frontend, detailing system demo screenshots, functional requirements (video playback, upload, user, interaction, community), tech stack choices, video processing pipeline, deployment steps, and code acquisition instructions.
This guide explains how to design, track, collect, manage, analyze, and monitor product metrics to create a closed‑loop growth system, and demonstrates the process with a real‑world video‑app submission‑rate optimization case study.
On World Intellectual Property Day 2023, Bilibili highlighted ten award‑winning patents—including on‑screen creator notes, personalized danmaku recommendation, video hotness forecasting, live‑stream highlight detection, mobile runtime observability, audio‑video sync measurement, automated script generation, occlusion‑aware comments, cloud‑gaming force feedback, and synchronized playback timestamps—showcasing its commitment to technical innovation.
This article defines Youku’s play conversion rate, explains its strategic importance, presents a multidimensional decomposition and contribution model, warns of Simpson’s paradox, outlines funnel and attribution analyses, and shows how data‑driven insights and a BI dashboard drove concrete optimization projects that measurably increased the metric.
This technical presentation explains how Youku tackles the massive, real‑time update problem of video‑content graphs by adopting a graph‑database architecture, sub‑graph partitioning, schema‑driven logical views, and Flink‑based pipelines to achieve second‑level updates for billions of entities and attributes.
During this session we examine Youku’s behind‑the‑scenes technical infrastructure that powers member‑only viewing privileges, detailing the challenges of delivering seamless premium video streams to paid subscribers and the integrated systems and solutions that ensure high‑quality, uninterrupted playback in today’s fast‑evolving internet landscape.
This article details the design and implementation of Youku’s Multi‑Modal Search Engine (MMS), covering its distributed multi‑level indexing architecture, vector retrieval using Aitheta, cross‑modal query scheduling, graph‑based execution engine, and real‑world applications such as intelligent video search and image‑based series lookup.
The article explains how Alibaba Entertainment leverages causal inference and uplift modeling to build unbiased user‑cf recommendation algorithms that model user states and upgrade personalized distribution, achieving significant click‑through and re‑activation gains for long‑video services like Youku.
This article describes how iQIYI’s technical product team designed and implemented an AI‑driven personalized poster generation and distribution pipeline that automatically creates, ranks, and serves customized video posters, improving click‑through rates across TV and mobile platforms.
This article examines iQIYI's end‑to‑end personalized poster production and distribution system, detailing AI‑driven image cropping, smart frame extraction, feature extraction, multi‑armed bandit ranking, and online experiments that together significantly increased poster click‑through rates on TV and mobile platforms.
The sixth Meitu Internet Technology Salon in Beijing showcased Meipai’s evolution, with senior engineers detailing the platform’s recommendation system, real‑time background segmentation, monitoring framework, live‑streaming and bullet‑screen architecture, offering practical insights and best‑practice lessons for building and optimizing large‑scale video services.
