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The AI Assistant Recommendations Rating background task uses a Collaborative Filter algorithm to rate relationships between courses. It runs once per week and the ratings are updated also only once per week. You can, however, run the task on an ad hoc basis from the Scheduled Tasks page in the Manage Center.
The task analyses all of the training history in the LMS. A typical analysis of a large database containing five million rows of training history records can be analysed in five minutes. This can temporarily use 500 MB to 1,000 MB of RAM, which is freed once the results are stored back in the database.
By default, only the past 18 months of training data are analyzed and each course must have at least 10 enrollments to be included in the recommendations. Both of these parameters are configurable. Please see Configuring AI Assistant Recommendations for additional information.
Additional Information
About AI Assistant Recommendations
