I made a QnA bot using bot-framework SDK3 and QnAmaker service. As I know, we can train our knowledge base. But I don't know how to train it while using my QnA bot in other channels like teams.
I think I can let user judge whether the bot's answer has solved the problem. So I make the conversation like below.
User: Ask a question
bot: give a answer
bot: does it solve your problem? yes or no?
user: yes/no
At this time, how could I let my knowledge base know it and master it? Then next time my bot may give a correct answer.
Dialog-based training like you described above is not currently supported in the current (GA) release of the QnA Maker. It is, however, something that the dev team is looking into. Currently, you can only train the QnAMaker portion of your bot from the QnA Maker portal.
Hi you can handle this kind of problem by Scores property
100 An exact match of user query and a KB question
90 High confidence - most of the words match
40-60 Fair confidence - important words match
10 Low confidence - important words don't match
0 No word match
reference https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/confidence-score
来源：https://stackoverflow.com/questions/51924667/how-to-train-my-qna-bot-while-using-it