Unverified50% confidenceOpinionExact time
Mainstream platform recommendation systems rely on long-term, cross-site user profiling because they optimize for dwell time and engagement rate, which easily leads to information cocoons.
1
Sources
50%
Confidence
Long-term
Relevance
11/3/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAlgorithmic recommendations rely on user behavior data (such as clicks, dwell time, and purchase history) for personalized matching, with the advantages of scalability and real-time performance.74% similarVerifiedPlatforms such as Douyin and Kuaishou assess content quality and make algorithmic recommendations based on metrics including watch-through rate, engagement rate, and share rate.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1132501API
curl https://kongchang.com/api/v1/knowledge/claims/1132501MCP
get_claim(id=1132501)