Score a parsed resume/job order to a group of resumes/job orders that aren't indexed. It's highly recommended to index all of your documents and leverage the speed and power of the AI Matching Engine and use one of the AI Match endpoints. This will also reduce your overall cost as the bimetric scoring is a higher charge per transaction.
Set to true to ignore single-word variations of multi-word job titles.
List of categories with weights that determine how the WeightedScore is calculated. It's important to specify these before the match so the query returns the top results using these weights. Only the categories included in this list will be used to calculate the WeightedScore.
The name of the category. One of:
The weight of the category relative to other categories. It's recommended for the specified categories to add up to 1, so it's obvious how the percentages are applied.
True when the duration of management level matches in the two documents.
An integer score from 0-100 representing how well the source document matched the current document. This calculation is the sum of the unweighted category scores multiplied by their respective suggested weight.
An integer score from 0-100 which represents how well the target document matched to the source document. This isn't the same as WeightedScore because when doing the reverse calculation we are analyzing for all of the data from the target document to be found in the source document.
An object containing our suggested weights for each category based on the source document.
Name of the category.
A 0-100 weight of suggested importance for the speficied category. This is calculated from the data in the source document. A sum of all of the SuggestedCategoryWeights will equal 100.
An object containing the weights that were used for each category based on a combination of the data in the source document and any desired weights passed in the request.
Name of the category.
A 0-100 weight of suggested importance for the speficied category. This is calculated from the data in the source document combined with any desired weights passed in the request. A sum of all of the AppliedCategoryWeights will equal 100.
The number of remaining credits is returned with every response. Please ensure that you set up monitoring of this value to ensure that you don't experience an outage by letting your credits reach 0.