Unverified70% confidenceFactExact time
Apple's App Store ranking algorithm is believed to use a time-decay weighting model, where the weight of recent downloads is far higher than that of historical cumulative downloads.
2
Sources
70%
Confidence
Long-term
Relevance
8/24/2026
First Seen
Sources
Related Entities
Related Claims
Unverified苹果App Store中应用描述中的文字对搜索排名几乎没有直接影响，但会影响用户的下载转化率73% similarUnverifiedAfter 2023, Apple further increased the weight of user engagement metrics, including in-app dwell time and repeat open frequency.72% similarUnverifiedApple devices have long led Android counterparts in second-hand market value retention, due in part to the closed nature of the iOS ecosystem and system update support lasting 5–6 years.71% similarUnverifiedWhen deploying models on Apple platforms, one should not focus solely on floating-point compute (FLOPS) metrics but also pay attention to memory bandwidth as a key performance determinant.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/794351API
curl https://kongchang.com/api/v1/knowledge/claims/794351MCP
get_claim(id=794351)