Changelog
Product recommender
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Ben Rose
on
Faraday’s Outcome abstraction allows users to define propensity objectives which predict whether a person is likely to join a given Cohort (often, to experience a given event). In other cases, users want to determine which variant of a given event a person is likeliest to experience. For example, which product they are likely to buy next. This is what we call product recommendation.
A new POST /recommenders
endpoint has been added to create recommenders, where you define parameters like stream name, eligibility, predictors, and bias mitigation.
View our documentation to learn more.