Management of accurate profile matching using multi-cloud service interaction

Autoren Andreea Buga
Bernhard Freudenthaler
Jorge Martinez Gil
Sorana Tania Nemes
Lorena Paoletti
Editoren Maria Indrawan-Santiago
Ivan Luiz Salvadori
Matthias Steinbauer
Ismail Khalil
Gabriele Anderst-Kotsis
Titel Management of accurate profile matching using multi-cloud service interaction
Buchtitel Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017)
Typ in Konferenzband
Verlag ACM
ISBN 978-1-4503-5299-4
DOI 10.1145/3151759.3151831
Monat December
Jahr 2017
Seiten 161-165
SCCH ID# 17059
Abstract

The current paper describes our research towards a cloud infrastructure for the universal access and interaction with a number of services implementing methods for enriching, matching and querying information about job offers and applicant profiles in the cloud. These methods exploit well-known recruitment knowledge bases in order to deliver valuable information to such organizations as public and private employment agencies that we assume to be geographically distributed. The rationale behind our approach is to offer an universal, yet inexpensive, distribution model able to reduce the cost of installing and maintaining the recruitment technology within the client’s businesses.