Expired50% confidenceFactExact time
Bilibili's video recommendation algorithm comprehensively considers factors such as text relevance between video titles and search terms, historical click-through rates, interaction data (likes, coins, favorites, danmu), and the UP host account's weight.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
Unverified点击率始终是YouTube视频能否进入推荐池的第一道门槛,视频首先得被点击才有机会被留存率等后续指标评估70% similarUnverifiedMainstream short video platforms (Douyin, Kuaishou, Video Account, etc.) have all deployed content deduplication systems that compare perceptual hash values, keyframe feature fingerprints, audio fingerprints, and other attributes extracted from videos against existing content in the platform's database.68% similarUnverifiedAfter 6–7 iterations of prompts, the application gained complete features including automatic parsing of X/YouTube/Instagram links, a waterfall layout, category filtering, and multi-user collaboration.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/49861API
curl https://kongchang.com/api/v1/knowledge/claims/49861MCP
get_claim(id=49861)