Your diary is the baseline
The predictor starts from how you actually use the star scale, then looks for evidence in directors, writers, subgenres, genres, eras and similar films you rated.
Movie rating predictor
Know the call before you press play.
Kinolog predicts the rating you would give a film, before you watch it. The number is locked in with the recommendation, the evidence is visible, and the result is scored against what you actually rate later.
Predicted stars are a Plus feature. The private diary and no-account taste quiz remain free.
Example
Tonight
In your wheelhouse
Arrival
2016 · 116 min · Science fiction
4.4★predicted for you
Why 4.4★
You rated these 4.5★ and up: quiet, idea-driven science fiction.
Prediction receipts
A prediction should be accountable.
Kinolog stores the predicted stars at suggestion time. When you later log the film, the call settles against your real rating. Close calls stay close. Misses stay visible. The example record shows the kind of scorekeeping the product uses; it is not a site-wide accuracy claim.
Example
Prediction accuracy
It keeps score on itself
- Average miss
- 0.4★
- Checked
- 26
- Within ½★
- 73%
● Called it 14● Close 9● Missed 3
Latest calls
4.0 → 4.5★
3.5 → 3★
4.5 → 5★
How a personal prediction earns its stars.
Evidence has to clear a floor
Kinolog refuses to produce a personal star call until there is enough rated history to support one. Low evidence stays a hunch instead of becoming fake precision.
The model learns from misses
Settled predictions feed a separate calibration layer. Global bias and local corrections can change only when enough prospective evidence exists.
Why this is different
Crowd scores answer a different question.
IMDb, Rotten Tomatoes and critic averages tell you what a crowd thought. Kinolog asks something narrower: based on the diary you have already built, what are you likely to rate this movie?
That prediction connects directly to your movie taste profile, and the recommendation still shows the films that pushed the call up or down.