Getting item recommendations (console) - Amazon Personalize
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Getting item recommendations (console)

To get recommendations with the Amazon Personalize console, you provide the request information on the details page of either a recommender (Domain dataset group) or a custom campaign.

To get recommendations

  1. Open the Amazon Personalize console at https://console.amazonaws.cn/personalize/home and sign into your account.

  2. Choose the dataset group that contains the campaign or recommender you are using.

  3. In the navigation pane, choose Campaigns or Recommenders.

  4. Choose the target campaign or recommender.

  5. For a campaigns, under Test campaign results, enter your recommendation request details based on the recipe you used. For a recommenders choose Test recommender and enter your recommendation request details based on your use case.

    If you recorded events for a user before they logged in (an anonymous user), you can get recommendations for this user by providing the sessionId from those events as if it is their userId. For more information about recording events for anonymous users, see Recording events for anonymous users.

  6. Optionally choose a filter. For more information, see Filtering recommendations and user segments.

  7. If you use contextual metadata, provide data for each context. For each context, for the Key enter the metadata field. For the Value enter the context data. For more information, see Increasing recommendation relevance with contextual metadata.

  8. If you enabled metadata in recommendations for your campaign or recommender, for Items dataset columns, choose the metadata columns that you want to include in recommendation results. For information about enabling metadata for a campaign, see Item metadata in recommendations. For information about enabling metadata for a recommender, see Enabling metadata in recommendations.

  9. If you want to promote a subset of items, optionally complete the Promotion fields. For more information see Promoting items in recommendations.

  10. Choose Get recommendations. A table containing the user’s top 25 recommended items displays. If you use User-Personalization-v2, each recommended item includes a list of reasons for why the item was included in recommendations. For more information, see Recommendation reasons (User-Personalization-v2).