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API Technical Specs

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Match a Resume

POST /v10/matcher/resume

Match a parsed resume to resumes/jobs in certain indexes.

Request Body

ResumeDatarequiredobject
Parsed ResumeData from the Sovren Resume Parser. See Parse a Resume
IndexIdsToSearchIntorequiredstring[]
The ids of the indexes in which you want to find results (case-insensitive).
Takeoptionalinteger
The number of results to return. No more than 100 records can be returned.
PreferredCategoryWeightsobject
The weights you want to use for scoring. It is important to specify these, otherwise default values will be used.

These weights will be used except in the case that you provided a non-zero weight for a category that is irrelevant in the source document. For example, this can happen when the source document contains no languages.
PreferredCategoryWeights.Educationdecimal
The weight of the Education category relative to other categories.
PreferredCategoryWeights.JobTitlesdecimal
The weight of the JobTitles category relative to other categories..
PreferredCategoryWeights.Skillsdecimal
The weight of the Skills category relative to other categories.
PreferredCategoryWeights.Industriesdecimal
The weight of the Industries/Taxonomies category relative to other categories.
PreferredCategoryWeights.Languagesdecimal
The weight of the Languages category relative to other categories.
PreferredCategoryWeights.Certificationsdecimal
The weight of the Certifications category relative to other categories.
PreferredCategoryWeights.ExecutiveTypedecimal
The weight of the ExecutiveType category relative to other categories.
PreferredCategoryWeights.ManagementLeveldecimal
The weight of the ManagementLevel category relative to other categories..
Settingsoptionalobject
Options to control variations of job titles.
Settings.PositionTitlesMustHaveAnExactMatchoptionalbool
Set to true to turn off variation matches in job titles.
FilterCriteriaoptionalobject
Additional criteria for the result set.
FilterCriteria.RevisionDateRangeoptionalobject
When specified, the revision date of documents must fall within this range.
FilterCriteria.RevisionDateRange.Minimumoptionalstring
The minimum allowed revision date for results in "YYYY-MM-DD" format. Default is 6 months before current date.
FilterCriteria.RevisionDateRange.Maximumoptionalstring
The maximum allowed revision date for results in "YYYY-MM-DD" format. Default is current date.
FilterCriteria.DocumentIdsoptionalstring[]
Results must have one of the specified document ids (case-insensitive).
FilterCriteria.UserDefinedTagsoptionalstring[]
List of user-defined tags. Either all or at least one are required depending on the value of FilterCriteria.UserDefinedTagsMustAllExist.
FilterCriteria.UserDefinedTagsMustAllExistoptionalbool
When true, all of the user-defined tags in FilterCriteria.UserDefinedTags must be found. By default, this is false, which means that at least one of the FilterCriteria.UserDefinedTags must be found.
FilterCriteria.LocationCriteriaoptionalobject[]
Filter results based on location.
FilterCriteria.LocationCriteria.Locationsoptionalobject[]
Results must be found within a certain distance of one of the specified locations.
FilterCriteria.LocationCriteria.Locations[i].CountryCodeoptionalstring
The 2-letter ISO 3166-1 alpha-2 country code for the specified location.
FilterCriteria.LocationCriteria.Locations[i].Regionoptionalstring
The region (i.e. State for U.S. addresses) for the location.
FilterCriteria.LocationCriteria.Locations[i].Municipalityoptionalstring
The municipality (i.e. City for U.S. addresses) for the location.
FilterCriteria.LocationCriteria.Locations[i].PostalCodeoptionalstring
The postal code (or zip code) for the location.
FilterCriteria.LocationCriteria.Locations[i].GeoPointoptionalobject
The geocordinates to be used in the location.
FilterCriteria.LocationCriteria.Locations[i].GeoPoint.Latitudeoptionaldecimal
The latitude coordinate value.
FilterCriteria.LocationCriteria.Locations[i].GeoPoint.Longitudeoptionaldecimal
The longitude coordinate value.
FilterCriteria.LocationCriteria.Distanceoptionalinteger
The distance from Locations within which to find results.
FilterCriteria.LocationCriteria.DistanceUnitoptionalstring
The units for the specified distance. One of:
  • Miles
  • Kilometers
FilterCriteria.LocationCriteria.GeocodeProvideroptionalstring
The provider to lookup latitude/longitude if they are not specified. One of:
  • None
  • Google
  • Bing
FilterCriteria.LocationCriteria.GeocodeProviderKeyoptionalstring
The key for the specified GeocodeProvider. If using Bing you must specify your own provider key.
FilterCriteria.SearchExpressionoptionalstring
Full-text boolean semantic expresion. For full details on the syntax and supported operations refer to the documentation
FilterCriteria.HasPatentsoptionalbool
If true, results must have/require patent experience.
FilterCriteria.HasSecurityCredentialsoptionalbool
If true, results must have/require security credentials. Supports (*, ?) wildcard characters after the third character in the term as defined in Special Operators.
FilterCriteria.SecurityCredentialsoptionalstring[]
Results must have/require at least one of the security credentials specified.
FilterCriteria.IsAuthoroptionalbool
If true, results must have/require experience as an author.
FilterCriteria.IsPublicSpeakeroptionalbool
If true, results must have/require public speaking experience.
FilterCriteria.IsMilitaryoptionalbool
If true, results must have/require military experience.
FilterCriteria.SchoolNamesoptionalstring[]
Results must have at least one of the specified school names. Supports (*, ?) wildcard characters after the third character in the term as defined in Special Operators
FilterCriteria.DegreeNamesoptionalstring[]
Results must have at least one of the specified degree names. Supports (*, ?) wildcard characters after the third character in the term as defined in Special Operators.
FilterCriteria.DegreeTypesoptionalstring[]
Results must have at least one of the specified degree types. One of the following explicit values as defined by HROpenStandards.org, in increasing order:
  • specialeducation
  • someHighSchoolOrEquivalent
  • ged
  • secondary
  • highSchoolOrEquivalent
  • certification
  • vocational
  • someCollege
  • HND_HNC_OrEquivalent
  • associates
  • international
  • bachelors
  • somePostgraduate
  • masters
  • intermediategraduate
  • professional
  • postprofessional
  • doctorate
  • postdoctorate
FilterCriteria.Employersoptionalstring[]
Results must have at least one of the employers in FilterCriteria.Employers. Supports (*, ?) wildcard characters after the third character in the term as defined in Special Operators.
FilterCriteria.EmployersMustAllBeCurrentEmployeroptionalbool
When true, at least one employer in FilterCriteria.Employers must be found in the current time frame.
FilterCriteria.MonthsExperienceoptionalobject
When specified, results total work experieince must fall within this range.
FilterCriteria.MonthsExperience.Minimumoptionalinteger
Results must have/require at least the amount of total work experience specified.
FilterCriteria.MonthsExperience.Maximumoptionalinteger
Results must have/require at MOST the amount of total work experience specified.
FilterCriteria.DocumentLanguagesoptionalstring[]
Results must be written in one of the specified languages.
FilterCriteria.Skillsoptionalobject[]
Results must have/require at least one of the specified skills.
FilterCriteria.Skills[i].SkillNameoptionalstring
The name of the skill. Supports (*, ?) wildcard characters after the third character in the term as defined in Special Operators.
FilterCriteria.Skills[i].ExperienceLeveloptionalstring
The experience level of the skill. Supports the following values:
  • Low (0-3 years)
  • Mid (4-6 years)
  • High (7+ years)
FilterCriteria.Skills[i].IsCurrentoptionalbool
The skill must be a current skill.
FilterCriteria.SkillsMustAllExistoptionalbool
When true, all of the skills in FilterCriteria.Skills must be found. By default, this is false, which means that at least one of the FilterCriteria.Skills must be found.
FilterCriteria.IsTopStudentoptionalbool
Results must have an education with a normalized gpa of .75 or higher (for example, 3.0/4.0 or higher).
FilterCriteria.IsCurrentStudentoptionalbool
Results must have a current education.
FilterCriteria.IsRecentGraduateoptionalbool
Results must have graduated within the last 18 months
FilterCriteria.JobTitlesoptionalobject[]
Results must have at least one of the specified job titles.
FilterCriteria.JobTitles[i].Titleoptionalstring
The name of the Job Title. Supports (*, ?) wildcard characters after the third character in the term as defined in Special Operators.
FilterCriteria.JobTitles[i].IsCurrentoptionalbool
The job title must be a current job title.
FilterCriteria.ExecutiveTypeoptionalstring[]
Results must have at least one of the following types of executive:
  • None
  • Executive
  • Admin
  • Accounting
  • Operations
  • Financial
  • Marketing
  • Business_Dev
  • IT
  • General
  • Learning
FilterCriteria.Certificationsoptionalstring[]
Results must have at least one of the specified certifications. Supports (*, ?) wildcard characters after the third character in the term as defined in Special Operators.
FilterCriteria.MonthsManagementExperienceoptionalobject
Results must have the management experience specified in this months range.
FilterCriteria.MonthsManagementExperience.Minimumoptionalinteger
Lower bound of the management experience range.
FilterCriteria.MonthsManagementExperience.Maximumoptionalinteger
Upper bound of the management experience range.
FilterCriteria.CurrentManagementLeveloptionalstring
Results must currently have at least one of the following management levels:
  • None
  • Low
  • Mid
  • High
FilterCriteria.LanguagesKnownoptionalstring[]
List of ISO 639-1 language codes (lower case, two letters) representing languages known. Either all or at least one are required depending on the value of FilterCriteria.LanguagesKnownMustAllExist.
FilterCriteria.LanguagesKnownMustAllExistoptionalbool
When true, all of the languages in FilterCriteria.LanguagesKnown must be found. By default, this is false, which means that at least one of the FilterCriteria.LanguagesKnown must be found.
FilterCriteria.Taxonomiesoptionalstring[]
Results must contain at least one of the specified best-fit taxonomy IDs or best-fit subtaxonomy IDs. A list of our built-in taxonomy IDs can be found here.
FilterCriteria.AverageMonthsPerEmployeroptionalobject
Results must have an average months per employers specified in this range. Only applicable for resumes; setting this when filtering jobs will cause an error.
FilterCriteria.AverageMonthsPerEmployer.Minimumoptionalinteger
Lower bound of the average months per employer range.
FilterCriteria.AverageMonthsPerEmployer.Maximumoptionalinteger
Upper bound of the average months per employer range.
FilterCriteria.JobPredictiveIndexoptionalobject
Results must have a job predictive index specified in this range. Only applicable for resumes; setting this when filtering jobs will cause an error.
FilterCriteria.JobPredictiveIndex.Minimumoptionalinteger
Lower bound of the job predictive index range.
FilterCriteria.JobPredictiveIndex.Maximumoptionalinteger
Upper bound of the job predictive index range.

Sample Request

{ ... 
"ResumeData" :  "...",[ ... 
""
],
"Take" :  0,{ ... 
"Education" :  0,"JobTitles" :  0,"Skills" :  0,"Industries" :  0,"Languages" :  0,"Certifications" :  0,"ExecutiveType" :  0,"ManagementLevel" :  0
},
{ ... 
"PositionTitlesMustHaveAnExactMatch" :  false
},
{ ... 
{ ... 
"Minimum" :  "","Maximum" :  ""
},
[ ... 
""
],
[ ... 
""
],
"UserDefinedTagsMustAllExist" :  false,{ ... 
[ ... 
{
"CountryCode" :  "","Region" :  "","Municipality" :  "","PostalCode" :  "",{ ... 
"Latitude" :  0,"Longitude" :  0
}
}
],
"Distance" :  0,"DistanceUnit" :  "Miles","GeocodeProvider" :  "None","GeocodeProviderKey" :  ""
},
"SearchExpression" :  "","HasPatents" :  false,"HasSecurityCredentials" :  false,[ ... 
""
],
"IsAuthor" :  false,"IsPublicSpeaker" :  false,"IsMilitary" :  false,[ ... 
""
],
[ ... 
""
],
[ ... 
""
],
[ ... 
""
],
"EmployersMustAllBeCurrentEmployer" :  false,{ ... 
"Minimum" :  0,"Maximum" :  0
},
[ ... 
""
],
[ ... 
{
"SkillName" :  "","ExperienceLevel" :  "","IsCurrent" :  false
}
],
"SkillsMustAllExist" :  false,"IsTopStudent" :  false,"IsCurrentStudent" :  false,"IsRecentGraduate" :  false,[ ... 
{
"Title" :  "","IsCurrent" :  false
}
],
[ ... 
""
],
[ ... 
""
],
{ ... 
"Minimum" :  0,"Maximum" :  0
},
"CurrentManagementLevel" :  "",[ ... 
""
],
"LanguagesKnownMustAllExist" :  false,[ ... 
""
],
{ ... 
"Minimum" :  0,"Maximum" :  0
},
{ ... 
"Minimum" :  0,"Maximum" :  0
}
}
}

Response Body

Infoobject
Information explaining the outcome of the transaction.
Info.Codestring
A response code elaborating on the HTTP status code.
The following is a list of codes that can be returned by the service:

Success – Successful transaction

MissingParameter - A required parameter wasn't provided

ConstraintError - A conditionally required parameter wasn't provided

InvalidParameter - A parameter was incorrectly specified

AuthenticationError - An error occurred with the credentials provided

Unauthorized - Your account doesn't have permission to perform this operation

DataNotFound - Couldn't find the requested asset
Info.Messageoptionalstring
This message further describes the code providing additional detail.
Info.TransactionIdstring
The (GUID) id for a specific API transaction. Use this when contacting support@sovren.com about issues.
Info.EngineVersionstring
The version of the parsing/matching engine running under-the-hood.
Info.ApiVersionstring
The version of the API.
Info.TotalElapsedMillisecondsinteger
How long the transaction took on Sovren's server, in milliseconds. If the transaction takes longer to complete on the client side, that extra duration is solely network latency.
Info.TransactionCostdecimal
How many credits the transaction costs.
Info.CustomerDetailsobject
Information about the customer who made the API call.
Value.CustomerDetails.AccountIdstring
The AccountId for the account.
Value.CustomerDetails.Namestring
The customer name on the account.
Value.CustomerDetails.IPAddressstring
The client IP Address where the API call originated.
Value.CustomerDetails.Regionstring
The region for the account, also known as the 'Data Center'.
Value.CustomerDetails.CreditsRemainingdecimal
The number of credits remaining to be used by the account.
Value.CustomerDetails.CreditsUseddecimal
The number of credits used by the account.
Value.CustomerDetails.MaximumConcurrentRequestsinteger
The number of requests that can be made at one time. If using sub-accounts, this is the maximum number of concurent requests across all accounts, not just this single sub-account.
Value.CustomerDetails.ExpirationDatedate
The date that the current credits expire.
Valueobject
Contains response data for the transaction.
Value.Matchesobject[]
An object[] containing the results for each match result.
Value.Matches[i].Idstring
Id of the matched document in the index.
Value.Matches[i].IndexIdstring
Id of the index in which the match was found.
Value.Matches[i].SovScoreinteger
An integer score representing the overall fit of the match. Results are sorted by this parameter in descending order.
Value.Matches[i].EnrichedScoreDataobject
Detailed information about the source to target match.
Value.Matches[i].EnrichedScoreData.Languagesobject
Detailed match information for the Languages category.
Value.Matches[i].EnrichedScoreData.Languages.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.Languages.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.Languages.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.Languages.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.Languages.Foundstring[]
Array of terms found in both documents.
Value.Matches[i].EnrichedScoreData.Languages.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedScoreData.Certificationsobject
Detailed match information for the Certifications category.
Value.Matches[i].EnrichedScoreData.Certifications.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.Certifications.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.Certifications.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.Certifications.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.Certifications.Foundstring[]
Array of terms found in both documents.
Value.Matches[i].EnrichedScoreData.Certifications.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedScoreData.ExecutiveTypeobject
Detailed match information for the ExecutiveType category.
Value.Matches[i].EnrichedScoreData.ExecutiveType.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.ExecutiveType.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.ExecutiveType.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.ExecutiveType.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.ExecutiveType.Foundstring[]
Array of terms found in both documents.
Value.Matches[i].EnrichedScoreData.ExecutiveType.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedScoreData.Educationobject
Detailed match information for the Eduction category.
Value.Matches[i].EnrichedScoreData.Education.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.Education.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.Education.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.Education.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.Education.ExpectedEducationstring
Requested level of education.
Value.Matches[i].EnrichedScoreData.Education.ActualEducationstring
Actual level of education found.
Value.Matches[i].EnrichedScoreData.Education.Comparisonstring
Description of the relationship of ExpectedEducation and ActualEducation. This provides an easier value to key off of. Possible values are:
  • DoesNotMeetExpected
  • MeetsExpected
  • ExceedsExpected
Value.Matches[i].EnrichedScoreData.Taxonomiesobject
Detailed match information for the Taxonomies category.
Value.Matches[i].EnrichedScoreData.Taxonomies.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.Taxonomies.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.Taxonomies.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.Taxonomies.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomiesobject
Taxonomies found.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primaryobject
Best fit taxonomy evidence.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomyobject
Best fit parent taxonomy.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomyobject
Best fit sub-taxonomy
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Secondaryobject
Second best fit taxonomy evidence.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Secondary.Taxonomyobject
Second best fit parent taxonomy.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Secondary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Secondary.Subtaxonomyobject
Second best fit sub-taxonomy.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomiesobject
Taxonomies requested.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primaryobject
Best fit taxonomy evidence.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomyobject
Best fit parent taxonomy.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomyobject
Best fit sub-taxonomy
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Secondaryobject
Second best fit taxonomy evidence.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Secondary.Taxonomyobject
Second best fit parent taxonomy.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Secondary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Secondary.Subtaxonomyobject
Second best fit sub-taxonomy.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedScoreData.JobTitlesobject
Detailed match information for the JobTitles category.
Value.Matches[i].EnrichedScoreData.JobTitles.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.JobTitles.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.JobTitles.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.JobTitles.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.JobTitles.Foundstring[]
Array of Job Titles found in both documents.
Value.Matches[i].EnrichedScoreData.JobTitles.Found[j].RawTermstring
Exact term found.
Value.Matches[i].EnrichedScoreData.JobTitles.Found[j].VariationOfstring
Original term that the variation was derived from.
Value.Matches[i].EnrichedScoreData.JobTitles.Found[j].IsCurrentbool
True when the Job Title found is in the current time-frame.
Value.Matches[i].EnrichedScoreData.JobTitles.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedScoreData.Skillsobject
Detailed match information for the Skills category.
Value.Matches[i].EnrichedScoreData.Skills.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.Skills.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.Skills.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.Skills.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.Skills.Foundstring[]
Array of Skills found in both documents.
Value.Matches[i].EnrichedScoreData.Skills.Found[j].Skillstring
Name of the skill.
Value.Matches[i].EnrichedScoreData.Skills.Found[j].IsCurrentbool
True when the skill is found in the current time-frame.
Value.Matches[i].EnrichedScoreData.Skills.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedScoreData.ManagementLevelobject
Detailed match information for the ManagementLevel category.
Value.Matches[i].EnrichedScoreData.ManagementLevel.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedScoreData.ManagementLevel.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedScoreData.ManagementLevel.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedScoreData.ManagementLevel.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedScoreData.ManagementLevel.Actualstring
Actual management level found.
Value.Matches[i].EnrichedScoreData.ManagementLevel.Desiredstring
Requested management level.
Value.Matches[i].EnrichedScoreData.ManagementLevel.AmountOfExperienceMatchesbool
True when the duration of management level matches in the two documents.
Value.Matches[i].EnrichedRCSScoreDataobject
Detailed information about the target to source match.
Value.Matches[i].EnrichedRCSScoreData.Languagesobject
Detailed match information for the Languages category.
Value.Matches[i].EnrichedRCSScoreData.Languages.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.Languages.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.Languages.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.Languages.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.Languages.Foundstring[]
Array of terms found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Languages.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedRCSScoreData.Certificationsobject
Detailed match information for the Certifications category.
Value.Matches[i].EnrichedRCSScoreData.Certifications.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.Certifications.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.Certifications.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.Certifications.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.Certifications.Foundstring[]
Array of terms found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Certifications.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedRCSScoreData.ExecutiveTypeobject
Detailed match information for the ExecutiveType category.
Value.Matches[i].EnrichedRCSScoreData.ExecutiveType.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.ExecutiveType.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.ExecutiveType.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.ExecutiveType.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.ExecutiveType.Foundstring[]
Array of terms found in both documents.
Value.Matches[i].EnrichedRCSScoreData.ExecutiveType.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedRCSScoreData.Educationobject
Detailed match information for the Eduction category.
Value.Matches[i].EnrichedRCSScoreData.Education.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.Education.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.Education.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.Education.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.Education.ExpectedEducationstring
Requested level of education.
Value.Matches[i].EnrichedRCSScoreData.Education.ActualEducationstring
Actual level of education found.
Value.Matches[i].EnrichedRCSScoreData.Education.Comparisonstring
Description of the relationship of ExpectedEducation and ActualEducation. This provides an easier value to key off of. Possible values are:
  • DoesNotMeetExpected
  • MeetsExpected
  • ExceedsExpected
Value.Matches[i].EnrichedRCSScoreData.Taxonomiesobject
Detailed match information for the Taxonomies category.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomiesobject
Taxonomies found.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primaryobject
Best fit taxonomy evidence.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomyobject
Best fit parent taxonomy.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomyobject
Best fit sub-taxonomy
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Secondaryobject
Second best fit taxonomy evidence.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Secondary.Taxonomyobject
Second best fit parent taxonomy.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Secondary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Secondary.Subtaxonomyobject
Second best fit sub-taxonomy.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.ActualTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomiesobject
Taxonomies requested.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primaryobject
Best fit taxonomy evidence.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomyobject
Best fit parent taxonomy.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomyobject
Best fit sub-taxonomy
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Secondaryobject
Second best fit taxonomy evidence.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Secondary.Taxonomyobject
Second best fit parent taxonomy.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Secondary.Taxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Taxonomy.Matchedbool
True when this parent taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Secondary.Subtaxonomyobject
Second best fit sub-taxonomy.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Namestring
Taxonomy name.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Idstring
Taxonomy id.
Value.Matches[i].EnrichedRCSScoreData.Taxonomies.DesiredTaxonomies.Primary.Subtaxonomy.Matchedbool
True when this sub taxonomy value is found in both documents.
Value.Matches[i].EnrichedRCSScoreData.JobTitlesobject
Detailed match information for the JobTitles category.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.JobTitles.Foundstring[]
Array of Job Titles found in both documents.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.Found[j].RawTermstring
Exact term found.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.Found[j].VariationOfstring
Original term that the variation was derived from.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.Found[j].IsCurrentbool
True when the Job Title found is in the current time-frame.
Value.Matches[i].EnrichedRCSScoreData.JobTitles.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedRCSScoreData.Skillsobject
Detailed match information for the Skills category.
Value.Matches[i].EnrichedRCSScoreData.Skills.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.Skills.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.Skills.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.Skills.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.Skills.Foundstring[]
Array of Skills found in both documents.
Value.Matches[i].EnrichedRCSScoreData.Skills.Found[j].Skillstring
Name of the skill.
Value.Matches[i].EnrichedRCSScoreData.Skills.Found[j].IsCurrentbool
True when the skill is found in the current time-frame.
Value.Matches[i].EnrichedRCSScoreData.Skills.NotFoundstring[]
Array of terms requested, but not found.
Value.Matches[i].EnrichedRCSScoreData.ManagementLevelobject
Detailed match information for the ManagementLevel category.
Value.Matches[i].EnrichedRCSScoreData.ManagementLevel.UnweightedScoredouble
An unweighted score from 0-100. This is the percentage match of the specified category.
Value.Matches[i].EnrichedRCSScoreData.ManagementLevel.Evidenceobject[]
Detailed written explanation about each data point found or not found.
Value.Matches[i].EnrichedRCSScoreData.ManagementLevel.Evidence[j].Factstring
Information regarding the outcome of one or more of the data points in the query.
Value.Matches[i].EnrichedRCSScoreData.ManagementLevel.Evidence[j].Typestring
Type of evidence message. Possible values include:
  • Negative
  • Mixed
  • Positive
Value.Matches[i].EnrichedRCSScoreData.ManagementLevel.Actualstring
Actual management level found.
Value.Matches[i].EnrichedRCSScoreData.ManagementLevel.Desiredstring
Requested management level.
Value.Matches[i].EnrichedRCSScoreData.ManagementLevel.AmountOfExperienceMatchesbool
True when the duration of management level matches in the two documents.
Value.Matches[i].WeightedScoreinteger
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.
Value.Matches[i].ReverseCompatibilityScoreinteger
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.
Value.SuggestedCategoryWeightsobject
The weights suggested by Sovren based solely on the data in the source document.

NOTE: these should only be used as a fallback or initial value. Your system/users should have the ability to adjust/override these (in the PreferredCategoryWeights in the request)
Value.SuggestedCategoryWeights.Educationdecimal
The weight of the Education category relative to other categories.
Value.SuggestedCategoryWeights.JobTitlesdecimal
The weight of the JobTitles category relative to other categories..
Value.SuggestedCategoryWeights.Skillsdecimal
The weight of the Skills category relative to other categories.
Value.SuggestedCategoryWeights.Industriesdecimal
The weight of the Industries/Taxonomies category relative to other categories.
Value.SuggestedCategoryWeights.Languagesdecimal
The weight of the Languages category relative to other categories.
Value.SuggestedCategoryWeights.Certificationsdecimal
The weight of the Certifications category relative to other categories.
Value.SuggestedCategoryWeights.ExecutiveTypedecimal
The weight of the ExecutiveType category relative to other categories.
Value.SuggestedCategoryWeights.ManagementLeveldecimal
The weight of the ManagementLevel category relative to other categories..
Value.SuggestedCategoryWeights.EducationHasDataboolean
If false, the Education category has no data and should be ignored/hidden.
Value.SuggestedCategoryWeights.JobTitlesHasDataboolean
If false, the JobTitles category has no data and should be ignored/hidden.
Value.SuggestedCategoryWeights.SkillsHasDataboolean
If false, the Skills category has no data and should be ignored/hidden.
Value.SuggestedCategoryWeights.IndustriesHasDataboolean
If false, the Industries/Taxonomies category has no data and should be ignored/hidden.
Value.SuggestedCategoryWeights.LanguagesHasDataboolean
If false, the Languages category has no data and should be ignored/hidden.
Value.SuggestedCategoryWeights.CertificationsHasDataboolean
If false, the Certifications category has no data and should be ignored/hidden.
Value.SuggestedCategoryWeights.ExecutiveTypeHasDataboolean
If false, the ExecutiveType category has no data and should be ignored/hidden.
Value.SuggestedCategoryWeights.ManagementLevelHasDataboolean
If false, the ManagementLevel category has no data and should be ignored/hidden.
Value.AppliedCategoryWeightsobject
The weights that were actually used for scoring. These are either

1) if the PreferredCategoryWeights are specified in the request, these are used (with any adjustments for non-applicable categories)
2) otherwise these are simply the SuggestedCategoryWeights
Value.AppliedCategoryWeights.Educationdecimal
The weight of the Education category relative to other categories.
Value.AppliedCategoryWeights.JobTitlesdecimal
The weight of the JobTitles category relative to other categories..
Value.AppliedCategoryWeights.Skillsdecimal
The weight of the Skills category relative to other categories.
Value.AppliedCategoryWeights.Industriesdecimal
The weight of the Industries/Taxonomies category relative to other categories.
Value.AppliedCategoryWeights.Languagesdecimal
The weight of the Languages category relative to other categories.
Value.AppliedCategoryWeights.Certificationsdecimal
The weight of the Certifications category relative to other categories.
Value.AppliedCategoryWeights.ExecutiveTypedecimal
The weight of the ExecutiveType category relative to other categories.
Value.AppliedCategoryWeights.ManagementLeveldecimal
The weight of the ManagementLevel category relative to other categories..
Value.CurrentCountinteger
The number of results that were returned. This number will never be greater than the Take in the request.
Value.TotalCountinteger
The total number of match results found for the specified query. Only the top Take of these results are returned.
Value.ElapsedMillisecondsinteger
The number of milliseconds the query took.

Sample Response

{ ... 
{ ... 
"Code" :  "string","Message" :  "string","TransactionId" :  "string","EngineVersion" :  "string","ApiVersion" :  "string","TotalElapsedMilliseconds" :  0,"TransactionCost" :  0,{ ... 
"AccountId" :  "string","Name" :  "string","IPAddress" :  "string","Region" :  "string","CreditsRemaining" :  0,"CreditsUsed" :  0,"ExpirationDate" :  "2021-12-31","MaximumConcurrentRequests" :  0
}
},
{ ... 
[ ... 
{
"Id" :  "","IndexId" :  "","SovScore" :  0,{ ... 
{ ... 
"UnweightedScore" :  0,[ ... 
""
],
[ ... 
""
],
[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
""
],
[ ... 
""
],
[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
""
],
[ ... 
""
],
[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,"ExpectedEducation" :  "","ActualEducation" :  "","Comparison" :  "",[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
{ ... 
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
},
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
}
},
{ ... 
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
},
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
}
}
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
[ ... 
{
"RawTerm" :  "","VariationOf" :  "","IsCurrent" :  false
}
],
[ ... 
""
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
[ ... 
{
"Skill" :  "","IsCurrent" :  false
}
],
[ ... 
""
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
"Actual" :  "","Desired" :  "","AmountOfExperienceMatches" :  false
}
},
{ ... 
{ ... 
"UnweightedScore" :  0,[ ... 
""
],
[ ... 
""
],
[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
""
],
[ ... 
""
],
[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
""
],
[ ... 
""
],
[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,"ExpectedEducation" :  "","ActualEducation" :  "","Comparison" :  "",[ ... 
{
"Fact" :  "","Type" :  ""
}
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
{ ... 
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
},
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
}
},
{ ... 
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
},
{ ... 
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
},
{ ... 
"Name" :  "","Id" :  "","Matched" :  false
}
}
}
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
[ ... 
{
"RawTerm" :  "","VariationOf" :  "","IsCurrent" :  false
}
],
[ ... 
""
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
[ ... 
{
"Skill" :  "","IsCurrent" :  false
}
],
[ ... 
""
]
},
{ ... 
"UnweightedScore" :  0,[ ... 
{
"Fact" :  "","Type" :  ""
}
],
"Actual" :  "","Desired" :  "","AmountOfExperienceMatches" :  false
}
},
"WeightedScore" :  0,"ReverseCompatibilityScore" :  0
}
],
{ ... 
"Education" :  0,"JobTitles" :  0,"Skills" :  0,"Industries" :  0,"Languages" :  0,"Certifications" :  0,"ExecutiveType" :  0,"ManagementLevel" :  0,"EducationHasData" :  false,"JobTitlesHasData" :  false,"SkillsHasData" :  false,"IndustriesHasData" :  false,"LanguagesHasData" :  false,"CertificationsHasData" :  false,"ExecutiveTypeHasData" :  false,"ManagementLevelHasData" :  false
},
{ ... 
"Education" :  0,"JobTitles" :  0,"Skills" :  0,"Industries" :  0,"Languages" :  0,"Certifications" :  0,"ExecutiveType" :  0,"ManagementLevel" :  0
},
"CurrentCount" :  0,"TotalCount" :  0,"ElapsedMilliseconds" :  0
}
}