Reviewing Coveo Machine Learning Query Suggestion Candidates

The Coveo™ Machine Learning (Coveo ML) Query Suggestions feature proposes the most relevant similar queries that were performed previously (see Query Suggestions Feature).

To prevent infrequent queries to pollute the suggestions, the feature delivers suggestions only for queries with enough clicks on search results. The number of clicks required varies based on the number of queries by language in the model. The following table lists diverse query counts and the respective minimum number of clicks for a query to be selected has a potential suggestion.

The minimum number of clicks is calculated per language, thus more popular languages will have a higher minimum number of clicks. You can review the minimum for each language in the model information panel (see Reviewing Coveo Machine Learning Model Information).

Query Count Minimum Number of Clicks
0 0
1 000 1
40 000 2
150 000 3
400 000 4
900 000 5
1 700 000 6

Before enabling Coveo Machine Learning Query suggestions, you may wonder which queries logged by usage analytics from a given search interface would be candidates for query suggestions, basically ensuring that there are queries matching the minimum requirements. This verification is particularly useful when your search interface has low traffic, such as in the case of a search interface exclusively accessible to employees in a small company.

You can use the Analytics section of the administration console navigation menu to list queries that match the Query Suggestions minimal requirements (see Required Privileges). You can then establish whether the feature can have a significant impact on a specific search interface for a specific language.

The following procedure takes into account that you are familiar with global dimension filters and dashboards (see Adding Global Dimension Filters and Reviewing and Managing Dashboards).