Forschung & Entwicklung - Jobbörsen Software

Jobiqo Forschungsbereiche Zielstrebig in die Zukunft: Jobiqo als Innovationsführer im Bereich HR Tech und Matching Software für Jobbörsen

Mitigating Gender-bias in Job Recommendation Systems (Johannes Kepler Universität)
Machine Learning in Job Classification
Context-Aware Semantic Matching
Behavioural Targeting of Passive Job Seekers
Service Composition for Data-Driven Services
Jobiqo erhält über 200.000 EUR Forschungsförderung für Machine Learning und AI

Locating and classification of job postings using crawling and information extraction (Rober Fuehrricht)
Information processing of HTML-documents for automated processing of job postings (Florian Gusenbauer)
Integrating collaborative services to semi-automatically extending taxonomies (Martin Lenz)
Development of an information system for semantic annotation of job postings with GATE (General Architecture for Tex Engineering) (Marc Kurz)
Enhancing a Job Recommender with Implicit User Feedback (Matthias Hutterer)
Event-Condition-Action rules for distributed content management (Wolfgang Ziegler)
Web Service Composition in Drupal (Klaus Purer)
Web-Crawler evaluation with reference to Deep Web (Andreas Dini, Philipp Lehner)
Nondestructive generic data transformation pipelines (Jakob Petsovits)
Online service platforms in the recruiting area (Michael Oppermann, Daniel Krennmayr)
Analysis of corporate websites of Austrian small and medium-sized businesses with reference to their use in the e-recruiting are (Anna-Maria Kollegger)
Using technology for global talent recruitment: Why HR/OB scholars need IS knowledge (Dr. Dr. Elfi Furtmüller)
Semi-automated enriching ontologies: a case study in the e-Recruiting domain (Joost Wolfswinkel)
Academic continuing education in Austria: Status and prospect with reference to the amendment of the act on academic education at the end of 2012 (Ingrid Schmid)
Geocluster: Server-side clustering in Drupal based on Geohash (Josef Dabernig)