Configuring the MLMR

To use the Machine Learning Match Recommendations (MLMR), you must first configure several elements. The MLMR uses a gateway integration endpoint to communicate between a matching algorithm and the cloud on which the MLMR works.

Prerequisite

Implement a match and merge solution as defined in the Configuring Match and Merge topic here.

Important: For every matching algorithm, there can only be one matching agent data model.

Configuration

The following topics outline the configuration of the MLMR:

1. Configuring the Stibo Aspire REST Gateway (here)

2. Configuring the Matching Agent Object Type (here)

3. Configuring the Clerical Review Workflow for MLMR (here)

4. Adding MLMR Recommendations to a Clerical Review Task (here)