Historique de Sovren

Mis à jour 2015-03-19 21:43:49 Date de création 2015-02-04 19:02:26
  • Multi Locale Support
    yes Yes, at least 17 languages and 31 countries. More planned. Every language, every locale, and can be configured per transaction
    English Posté 2015-03-19 21:43:49 par nickname
  • Editeur
    public
    Visibilité
    public
    English Posté 2015-02-04 22:09:56 par nickname
  • SaaS
    yes Component deployment or hosted solution.
    English Posté 2015-02-04 21:37:08 par nickname
  • Support 24/7
    - Email & online issue submission and tracking.
    English Posté 2015-02-04 20:50:22 par nickname
  • Format de sortie
    HR-XML Resume 2.1, 2.4, and 2.5 schemas, CSV files, and human readable text. The Parser implements virtually the entire schema. All XML schemas are fully customizable and new tags and extensions can be added if so desired.
    Batch Upload
    yes
    English Posté 2015-02-04 20:08:59 par nickname
  • Assistance téléphonique
    yes
    Support 24/7
    - Online issue submission and tracking.
    Site web
    http://www.sovren.com
    Multi Locale Support
    yes every language, every locale, and can be configured per transaction
    Intégrés en tant que partenaires
    6FigureJobs, CareerBuilder.com, ConstructionJobs, EmploymentCrossing, JIBE, Jobtarget, Latpro, Madgex, Maven, Monster, The Ladders, TimesJobs.com, Workpop
    English Posté 2015-02-04 19:44:13 par nickname
  • Logo
    http://socialcompare.com/u/1502/sovren-logo-2npxfd5i.png
    Prix
    0 USD We do not charge per resume. We offer multiple licensing models that are designed to fit your revenue model.
    Société
    The Sovren Group is privately held and was founded in 1996
    Siège social
    Texas
    Particularités
    The Sovren Semantic Matching Engine (“SSME”) works with the Sovren Résumé/CV Parser and the Sovren Job Order Parser to provide advanced matching capabilities between a source document and candidates. The SSME matches profiles, not keywords.
    Intégration
    The Parser and Converter are components, not applications, and can be incorporated into your application in several ways: • As direct references in .NET projects • As COM components in any Windows application • As a SOAP web service run on a Windows server and accessed from any platform/language • Via SaaS. The Sovren® Resume/CV Parser is a 100% pure managed code Microsoft .NET assembly (a single DLL). It requires the Microsoft .NET Framework runtime version 2.0 or higher and works in 32-bit or 64-bit applications.
    English Posté 2015-02-04 19:23:34 par nickname
  • Mode
    70
    Nom
    Sovren
    Visibilité
    unlisted
    Editeur
    nickname-2ncvhgep
    Catégorie
    computers
    Format de sortie
    HR-XML Resume 2.1, 2.4, and 2.5 schemas, CSV files, and human readable text. The Parser implements virtually the entire schema.
    Formats d'entrée
    The Sovren Document Converter converts over 60 formats, including: • Microsoft Word, all versions including DOCX • Rich Text (RTF) • OpenOffice 2.+ • HTML, Microsoft Office HTML, HTML Archives • PDF, all flavors • Corel WordPerfect • Email • Text, many encodings • Excel • Compressed files (Zip, Gzip) • and many other formats.
    SaaS
    yes
    Scalability
    yes
    Prix
    0 USD We do not charge per resume. We offer multiple licensing models that are designed to fit your revenue model rather than just add a layer of embedded cost.
    Source code repository
    The source code to the Parser is available for licensing. Source code escrows are also available.
    Multi Locale Support
    every language, every locale, and can be configured per transaction
    Intégration
    The Parser and Converter are components, not applications, and can be incorporated into your application in several ways: • As direct references in .NET projects • As COM components in any Windows application • As a SOAP web service run on a Windows server and accessed from any platform/language • Via SaaS
    Thoughput (Advertised)
    Converter: 50-100 resumes per CPU per second.
    English Posté 2015-02-04 19:02:26 par nickname
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