GENAI-3315 Added serverScore parameter for inferred local re-ranking - Inferred US 100% release#1219
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GENAI-3315 Added serverScore parameter for inferred local re-ranking - Inferred US 100% release#1219
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rolf-moz
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rolf-moz
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mmiermans
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Mar 24, 2026
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| TIME_ZONE_OFFSET_INFERRED_KEY = "timeZoneOffset" | ||
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| CLICK_RANDOMIZATION_EPSILON_MICRO_FOR_EXEPRIMENT = 14700000 |
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Suggested change
| CLICK_RANDOMIZATION_EPSILON_MICRO_FOR_EXEPRIMENT = 14700000 | |
| CLICK_RANDOMIZATION_EPSILON_MICRO_FOR_EXPERIMENT = 14700000 |
| features={}, | ||
| # TODO - add daylight savings time check so model can switch based on daylight savings time | ||
| # Below are thresholds in 24 offset format so that results are one of current bucketed PST -> EDT | ||
| thresholds=[16.1, 17.1, 18.1], |
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Could these values be derived from constants in Python or a package that's already installed?
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Yes I have a todo for that above. I'll implement now
| privacy_overrides: PrivacyOverrides | None = ( | ||
| PrivacyOverridesForFivePercentExperimentUS() if small_experiment else None | ||
| ) | ||
| print("privacy overrides set " + str(privacy_overrides)) |
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Remove/convert debug print?
| rec.receivedRank = idx | ||
| if rescaler: | ||
| last_score = 1000.0 | ||
| tiny_delta = 0.0001 |
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Can you derive and/or document these values?
rolf-moz
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mmiermans
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Mar 25, 2026
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References
JIRA: https://mozilla-hub.atlassian.net/browse/GENAI-3315
Description
This PR preps for an inferred release that will work without an experiment.
• Server score is sent for most popular items to support local + server hybrid reranking (tested in an earlier experiment without the hybrid portion)
• Unknown experiments that use merino revert to local re-ranking only to preserve user privacy.
• Addition of privacy parameters override for Merino (will be enabled after future Firefox update to allow for easier experimentation)
• Use one of the inferred interests to support a special time zone offset that is handled in the client, allowing differential private time zone with inferred under the same privacy mechanism.
Background document:
https://mozilla-hub.atlassian.net/wiki/spaces/FPS/pages/2214560182/Inferred+Personalization+Rollout+to+100+in+the+US
PR Review Checklist
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