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[Cogsvcs] QnA Maker - Active Learning setting defa
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articles/cognitive-services/QnAMaker/Concepts/active-learning-suggestions.md

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title: Active learning suggestions - QnA Maker
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description: Active learning suggestions allows you to improve the quality of your knowledge base by suggesting alternative questions, based on user-submissions, to your question and answer pair.
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ms.topic: conceptual
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ms.date: 02/27/2020
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ms.date: 03/19/2020
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---
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# Active learning suggestions
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Once questions are suggested in the QnA Maker portal, you need to review and accept or reject those suggestions. There isn't an API to manage suggestions.
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## Turn on active learning
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By default, active learning is **off**. [Turn on active learning](../How-To/improve-knowledge-base.md#turn-on-active-learning-to-see-suggestions) to see suggested alternate question in your knowledge base.
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## How QnA Maker's implicit feedback works
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QnA Maker's implicit feedback uses an algorithm to determine score proximity then makes active learning suggestions. The algorithm to determine proximity is not a simple calculation. The ranges in the following example are not meant to be fixed but should be used as a guide to understand the impact of the algorithm only.

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