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aientity · one source so far

regionfed

for ml engineers

Steadyarxiv
Signal score
20
as of 2d ago
Live items
1
Trajectory
Steady
7-day est. ~17

Why this scored 20

every term, weighted
Velocity+0.0 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+11.7 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25

How many independent communities its own items come from

Recency+8.7 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty0.2 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite20.1

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

low confidence · estimate, not a guarantee

7-day

~17

range 029

14-day

~14

range 029

30-day

~8

range 027

Signal history

7-day window (free)
1723

projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    18

    RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

    Federated learning approach personalizes query understanding across heterogeneous retail sites. · for ml engineers

    arxivSteadyai4d ago