DocumentCode :
144723
Title :
Automation of HR Interview System Using JESS Inference Engine
Author :
Kumar, Kush ; Kumar, Ajit ; Abhishek, Kumar ; Singh, Dushyant Kumar
Author_Institution :
Samsung R&D Inst., Bangalore, India
fYear :
2014
fDate :
7-9 April 2014
Firstpage :
1102
Lastpage :
1105
Abstract :
Inference Engines are software that derive conclusions out of existing data and also fire actions if the activity trend gets a match within existing knowledge base. Inference engines hence are capable of taking decisions based on their heuristics and learning. This fact can be harnessed into developing intelligent software systems which their accuracy with time and become more dexterous in handling complex situations. This paper deals with the design and development of an application automating HR Interview process, based on one of the popular Inference Engine, JESS, demonstrating the power of Inference Engines to satisfy the need of complex logical requirements.
Keywords :
expert systems; human resource management; inference mechanisms; learning (artificial intelligence); software tools; HR interview system automation; JESS inference engine; complex logical requirements; decision making; heuristics; intelligent software systems; knowledge base; learning; Companies; Engines; Expert systems; Interviews; Java; Software; Expert System; Inference Engine; JESS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-3069-2
Type :
conf
DOI :
10.1109/CSNT.2014.225
Filename :
6821570
Link To Document :
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