Create a recommender
A recommender returns items from your content schema’s catalog, ranked toward a goal you pick — for example “customers who viewed this also viewed” or “trending now.” A decision calls the recommender to fill its response.
Create the recommender
- From Personalization setup, create a new recommender.
- Choose objective-based if you want Personalization to rank items using machine learning toward a goal such as Maximize Revenue or Maximize Clicks.
- Make sure the fields that objective needs are present on your item data graph — an objective-based recommender can’t optimize toward data it can’t read.
- Save the recommender, then attach it to a decision so a personalization point can serve its results.
Discussion
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