Interface MatchItem.Builder

All Superinterfaces:
Buildable, CopyableBuilder<MatchItem.Builder,MatchItem>, SdkBuilder<MatchItem.Builder,MatchItem>, SdkPojo
Enclosing class:
MatchItem

public static interface MatchItem.Builder extends SdkPojo, CopyableBuilder<MatchItem.Builder,MatchItem>
  • Method Details

    • matchId

      MatchItem.Builder matchId(String matchId)

      The unique identifiers for this group of profiles that match.

      Parameters:
      matchId - The unique identifiers for this group of profiles that match.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • profileIds

      MatchItem.Builder profileIds(Collection<String> profileIds)

      A list of identifiers for profiles that match.

      Parameters:
      profileIds - A list of identifiers for profiles that match.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • profileIds

      MatchItem.Builder profileIds(String... profileIds)

      A list of identifiers for profiles that match.

      Parameters:
      profileIds - A list of identifiers for profiles that match.
      Returns:
      Returns a reference to this object so that method calls can be chained together.
    • confidenceScore

      MatchItem.Builder confidenceScore(Double confidenceScore)

      A number between 0 and 1, where a higher score means higher similarity. Examining match confidence scores lets you distinguish between groups of similar records in which the system is highly confident (which you may decide to merge), groups of similar records about which the system is uncertain (which you may decide to have reviewed by a human), and groups of similar records that the system deems to be unlikely (which you may decide to reject). Given confidence scores vary as per the data input, it should not be used an absolute measure of matching quality.

      Parameters:
      confidenceScore - A number between 0 and 1, where a higher score means higher similarity. Examining match confidence scores lets you distinguish between groups of similar records in which the system is highly confident (which you may decide to merge), groups of similar records about which the system is uncertain (which you may decide to have reviewed by a human), and groups of similar records that the system deems to be unlikely (which you may decide to reject). Given confidence scores vary as per the data input, it should not be used an absolute measure of matching quality.
      Returns:
      Returns a reference to this object so that method calls can be chained together.