Merge pull request #105686 from diberry/diberry/personalizer-failure-to-attain-100-percent

[Cogsvcs] Personalizer - notes from shadow mode

Author: PRMerger8

articles/cognitive-services/personalizer/troubleshooting.md

@@ -2,7 +2,7 @@
 title: Troubleshooting - Personalizer
 description: This article contains answers to frequently asked troubleshooting questions about Personalizer.
 ms.topic: conceptual
-ms.date: 02/18/2020
+ms.date: 02/26/2020
 ms.author: diberry
 ---
 # Personalizer Troubleshooting
@@ -29,6 +29,19 @@ These issues should be transparent. If they continue, contact support by selecti
 
 ## Learning loop
 
+<details>
+<summary>
+<b>The learning loop doesn't attain a 100% match to the system without Personalizer. How do I fix this?</b></summary>
+
+**Answer**: The reasons you don't attain your goal with the learning loop:
+* Not enough features sent with Rank API call
+* Bugs in the features sent - such as sending non-aggregated feature data such as timestamps to Rank API
+* Bugs with loop processing - such as not sending reward data to Reward API for events
+
+To fix, you need to change the processing by either changing the features sent to the loop, or make sure the reward is a correct evaluation of the quality of the Rank's response.
+
+</details>
+
 <details>
 <summary>
 <b>The learning loop doesn't seem to learn. How do I fix this?</b></summary>