Issues with Fallback Intent Triggering Too Frequently in Dialogflow

[AaryanCodes]

I've set up a fallback intent in Dialogflow to handle unexpected user inputs, but it's being triggered too often, even when the user says something similar to what the existing intents should handle. How can I adjust the sensitivity or training phrases to reduce false positives for the fallback intent and improve the accuracy of intent matching?

[McMaco · Accepted solution]

Hello AaryanCodes,

Welcome to Google Cloud Community!

Here are recommendations to adjust the sensitivity or training phrases to reduce false positives for the fallback intent and improve the accuracy of intent matching:

Intent priority: You can set priorities for intents. When two or more intents match the same end-user expression with similar confidence scores, priority is used to select the best match. Otherwise, the confidence score for intent matching is more important than priority.

Fallback intents: These intents have the lowest priority for intent matching.
You can change the pre-populated text responses, but they should communicate to the end-user that their input was not recognized.

Negative examples: You can add training phrases to fallback intents that act as negative examples. There may be cases where end-user expressions have a slight resemblance to your training phrases, but you do not want these expressions to match any normal intents.

I hope the above information is helpful.