Score a Set of Documents🔗︎
HTTP Verb | Path |
---|---|
POST | /v9/scorer/bimetric |
Score a parsed resume/job to a group of resumes/jobs that aren't indexed. It's highly recommended to index all of your documents and leverage the speed and power of the Search & Match Engine and use one of the Search & Match endpoints. This will also reduce your overall cost as the bimetric scoring is a higher charge per transaction.
Info
- You can try this endpoint out at our Swagger page ( US Data Center | EU Data Center | AU Data Center )
Request Body🔗︎
SourceDocument 🔗︎ object
required
SourceDocument🔗︎
Parsed document to match against each of the target documents.
SourceDocument properties
TargetDocuments 🔗︎ object[]
required
TargetDocuments🔗︎
Array of parsed documents to be matched against the source document.
TargetDocuments properties
Settings 🔗︎ object
Settings🔗︎
Options to control variations of job titles.
Settings properties
CategoryWeights 🔗︎ object[]
CategoryWeights🔗︎
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.
CategoryWeights properties
Sample JSON
Response Body🔗︎
Info 🔗︎ object
Info🔗︎
Information explaining the outcome of the transaction.
Info properties
Value 🔗︎ object
Value🔗︎
Contains response data for the transaction.
Value properties
Matches 🔗︎ object[]
Matches🔗︎
An object[] containing the results for each match result.
Matches properties
SovScore 🔗︎ integer
SovScore🔗︎
An integer score from 0-100 representing the overall fit of the match. Results are sorted by this parameter in descending order.
EnrichedScoreData 🔗︎ object
EnrichedScoreData🔗︎
Detailed information about the source to target match.
EnrichedScoreData properties
Languages 🔗︎ object
Languages🔗︎
Detailed match information for the Languages category.
Languages properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Certifications 🔗︎ object
Certifications🔗︎
Detailed match information for the Certifications category.
Certifications properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
ExecutiveType 🔗︎ object
ExecutiveType🔗︎
Detailed match information for the ExecutiveType category.
ExecutiveType properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Education 🔗︎ object
Education🔗︎
Detailed match information for the Eduction category.
Education properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Taxonomies 🔗︎ object
Taxonomies🔗︎
Detailed match information for the Taxonomies category.
Taxonomies properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Evidence 🔗︎ object[]
Evidence🔗︎
Detailed written explanation about each data point found or not found.
Evidence properties
ActualTaxonomies 🔗︎ object
ActualTaxonomies🔗︎
Taxonomies found.
ActualTaxonomies properties
Primary 🔗︎ object
Primary🔗︎
Best fit taxonomy evidence.
Primary properties
DesiredTaxonomies 🔗︎ object
DesiredTaxonomies🔗︎
Taxonomies requested.
DesiredTaxonomies properties
Primary 🔗︎ object
Primary🔗︎
Best fit taxonomy evidence.
Primary properties
JobTitles 🔗︎ object
JobTitles🔗︎
Detailed match information for the JobTitles category.
JobTitles properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Evidence 🔗︎ object[]
Evidence🔗︎
Detailed written explanation about each data point found or not found.
Evidence properties
Skills 🔗︎ object
Skills🔗︎
Detailed match information for the Skills category.
Skills properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Evidence 🔗︎ object[]
Evidence🔗︎
Detailed written explanation about each data point found or not found.
Evidence properties
ManagementLevel 🔗︎ object
ManagementLevel🔗︎
Detailed match information for the ManagementLevel category.
ManagementLevel properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
EnrichedRCSScoreData 🔗︎ object
EnrichedRCSScoreData🔗︎
Detailed information about the target to source match.
EnrichedRCSScoreData properties
Languages 🔗︎ object
Languages🔗︎
Detailed match information for the Languages category.
Languages properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Certifications 🔗︎ object
Certifications🔗︎
Detailed match information for the Certifications category.
Certifications properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
ExecutiveType 🔗︎ object
ExecutiveType🔗︎
Detailed match information for the ExecutiveType category.
ExecutiveType properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Education 🔗︎ object
Education🔗︎
Detailed match information for the Eduction category.
Education properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Taxonomies 🔗︎ object
Taxonomies🔗︎
Detailed match information for the Taxonomies category.
Taxonomies properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Evidence 🔗︎ object[]
Evidence🔗︎
Detailed written explanation about each data point found or not found.
Evidence properties
ActualTaxonomies 🔗︎ object
ActualTaxonomies🔗︎
Taxonomies found.
ActualTaxonomies properties
Primary 🔗︎ object
Primary🔗︎
Best fit taxonomy evidence.
Primary properties
DesiredTaxonomies 🔗︎ object
DesiredTaxonomies🔗︎
Taxonomies requested.
DesiredTaxonomies properties
Primary 🔗︎ object
Primary🔗︎
Best fit taxonomy evidence.
Primary properties
JobTitles 🔗︎ object
JobTitles🔗︎
Detailed match information for the JobTitles category.
JobTitles properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Evidence 🔗︎ object[]
Evidence🔗︎
Detailed written explanation about each data point found or not found.
Evidence properties
Skills 🔗︎ object
Skills🔗︎
Detailed match information for the Skills category.
Skills properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
Evidence 🔗︎ object[]
Evidence🔗︎
Detailed written explanation about each data point found or not found.
Evidence properties
ManagementLevel 🔗︎ object
ManagementLevel🔗︎
Detailed match information for the ManagementLevel category.
ManagementLevel properties
UnweightedScore 🔗︎ double
UnweightedScore🔗︎
An unweighted score from 0-100. This is the percentage match of the specified category.
WeightedScore 🔗︎ integer
WeightedScore🔗︎
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.
UnweightedCategoryScores 🔗︎ object[]
Deprecated
UnweightedCategoryScores🔗︎
Deprecated
UnweightedCategoryScores properties
ReverseCompatibilityScore 🔗︎ integer
ReverseCompatibilityScore🔗︎
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.
SuggestedCategoryWeights 🔗︎ object[]
SuggestedCategoryWeights🔗︎
An object[] containing our suggested weights for each category based on the source document.
SuggestedCategoryWeights properties
Sample JSON
{
"Info": {
"Code": "",
"Message": ""
},
"Value": {
"Matches": [
{
"Id": "",
"SovScore": 0,
"EnrichedScoreData": {
"Languages": {
"UnweightedScore": 0,
"Found": [
""
],
"NotFound": [
""
],
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"Certifications": {
"UnweightedScore": 0,
"Found": [
""
],
"NotFound": [
""
],
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"ExecutiveType": {
"UnweightedScore": 0,
"Found": [
""
],
"NotFound": [
""
],
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"Education": {
"UnweightedScore": 0,
"ExpectedEducation": "",
"ActualEducation": "",
"Comparison": "",
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"Taxonomies": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"ActualTaxonomies": {
"Primary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
},
"Secondary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
}
},
"DesiredTaxonomies": {
"Primary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
},
"Secondary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
}
}
},
"JobTitles": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"Found": [
{
"RawTerm": "",
"VariationOf": "",
"IsCurrent": false
}
],
"NotFound": [
""
]
},
"Skills": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"Found": [
{
"Skill": "",
"IsCurrent": false
}
],
"NotFound": [
""
]
},
"ManagementLevel": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"Actual": "",
"Desired": "",
"AmountOfExperienceMatches": false
}
},
"EnrichedRCSScoreData": {
"Languages": {
"UnweightedScore": 0,
"Found": [
""
],
"NotFound": [
""
],
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"Certifications": {
"UnweightedScore": 0,
"Found": [
""
],
"NotFound": [
""
],
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"ExecutiveType": {
"UnweightedScore": 0,
"Found": [
""
],
"NotFound": [
""
],
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"Education": {
"UnweightedScore": 0,
"ExpectedEducation": "",
"ActualEducation": "",
"Comparison": "",
"Evidence": [
{
"Fact": "",
"Type": ""
}
]
},
"Taxonomies": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"ActualTaxonomies": {
"Primary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
},
"Secondary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
}
},
"DesiredTaxonomies": {
"Primary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
},
"Secondary": {
"Taxonomy": {
"Name": "",
"Id": "",
"Matched": false
},
"SubTaxnomy": {
"Name": "",
"Id": "",
"Matched": false
}
}
}
},
"JobTitles": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"Found": [
{
"RawTerm": "",
"VariationOf": "",
"IsCurrent": false
}
],
"NotFound": [
""
]
},
"Skills": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"Found": [
{
"Skill": "",
"IsCurrent": false
}
],
"NotFound": [
""
]
},
"ManagementLevel": {
"UnweightedScore": 0,
"Evidence": [
{
"Fact": "",
"Type": ""
}
],
"Actual": "",
"Desired": "",
"AmountOfExperienceMatches": false
}
},
"WeightedScore": 0,
"UnweightedCategoryScores": [
{
"Category": "",
"UnweightedScore": 0,
"TermsFound": [
""
]
}
],
"ReverseCompatibilityScore": 0
}
],
"SuggestedCategoryWeights": [
{
"Category": "",
"Weight": 0
}
],
"AppliedCategoryWeights": [
{
"Category": "",
"Weight": 0
}
],
"CreditsRemaining": 0
}
}