Interface BatchInferenceJobConfig.Builder

  • Method Details

    • itemExplorationConfig

      BatchInferenceJobConfig.Builder itemExplorationConfig(Map<String,String> itemExplorationConfig)

      A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

      Parameters:
      itemExplorationConfig - A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • rankingInfluenceWithStrings

      BatchInferenceJobConfig.Builder rankingInfluenceWithStrings(Map<String,Double> rankingInfluence)

      A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.

      Parameters:
      rankingInfluence - A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • rankingInfluence

      BatchInferenceJobConfig.Builder rankingInfluence(Map<RankingInfluenceType,Double> rankingInfluence)

      A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.

      Parameters:
      rankingInfluence - A map of ranking influence values for POPULARITY and FRESHNESS. For each key, specify a numerical value between 0.0 and 1.0 that determines how much influence that ranking factor has on the final recommendations. A value closer to 1.0 gives more weight to the factor, while a value closer to 0.0 reduces its influence.
      Returns:
      Returns a reference to this object so that method calls can be chained together.