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Understanding Article Suggestion Search in Zendesk

Learn about Zendesk's Article Suggestion search, which uses relevance scores to suggest articles based on titles, labels, and content.

What is Article Suggestion search in Zendesk?

Article Suggestion search in Zendesk is a feature that appears on the submit a request form when end users fill out the subject field in the Help Center ticket form. It searches through titles, labels, and content, using a relevance score to order suggested articles.

This search method is particularly useful for providing users with relevant articles that might help resolve their issues before they submit a ticket. It aims to improve user experience by suggesting helpful content based on the subject they are entering. For more details, you can refer to the originalZendesk help article.


More related questions

What is the Native Help Center search in Zendesk?

The Native Help Center search in Zendesk is a search method that does not use partial word search. It searches through titles, labels, and content to provide results. This means that it looks for exact matches in the text, which can be useful for…

How does Instant Search work in Zendesk's Help Center?

Instant Search in Zendesk's Help Center uses a partial word search and only returns results based on article titles. This means that as you type, it will suggest articles whose titles contain the words you are entering, even if you haven't typed…

Can I disable the Article Suggestion feature in Zendesk?

Yes, you can disable the Article Suggestion feature in Zendesk. This feature is shown on the submit a request form when users fill out the subject field in the Help Center ticket form. If you find it unnecessary or want to customize your Help…

Why might Instant Search in Zendesk be limited?

Instant Search in Zendesk might be considered limited because it only returns results based on article titles. This means that it does not search through the content or labels of articles, which can restrict the number of relevant results users…

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