About Query Suggestions (QS)

Query suggestions example | Coveo Machine Learning

Coveo Machine Learning (Coveo ML) Query Suggestion (QS) models recommend relevant queries to users as they type in the search box.

Coveo ML QS models:

  • Identify exact, partial, or fuzzy matches with typed characters anywhere in any individual keyword appearing in any order.

  • stem query suggestion keywords to remove duplicates.

  • Offer the most relevant recommendations by ranking query suggestions by considering the following:

    • The number of times the query was performed.

    • The degree to which the query suggestion matches the typed characters.

    • The query performance based on the Relevance Index and Clickthrough usage analytics metrics.

  • Only consider queries that were followed by clicked search results a specific number of times (see Review query suggestion candidates). This prevents infrequent queries from polluting the suggestions.

Members with the required privileges can configure and activate Coveo ML QS in a few clicks. Developers can leverage QS in the desired search interface using the JavaScript Framework, the Headless library, or with Atomic.