After setting up Einstein Article Recommendations (EAR) in Salesforce Service Cloud, users may find that article recommendations are not being returned for cases as expected. EAR uses a machine learning model to suggest relevant Knowledge Articles on case records based on case data.
Einstein Article Recommendations (EAR) uses a machine learning model to suggest relevant Salesforce Knowledge Articles for open cases. The following steps help diagnose and resolve situations where EAR is not returning recommendations.
Cases created or edited prior to activating your EAR model will not retroactively display results for Einstein Article Recommendations. If the impacted cases fall into this category, users may need to edit and change a case record field that is used in the prediction model. Newly created cases will automatically provide predictions after the model is activated. See Select Languages and Fields for Your Article Recommendation Model for details on which fields are used by your model.
If users are still not seeing recommended articles after completing the steps above, log a case with Salesforce Support. Provide example case records and articles that are expected to be returned, and ask Support to reference the internal information section of this article (000389331) for additional investigation details.
000389331

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