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Applying Artificial Intelligence to Career Consultation: A Case Based Reasoning Paradigm for Knowledge Management

Publish Year: 1383
Type: Journal paper
Language: English
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Document National Code:

JR_EIJH-11-3_005

Index date: 11 March 2025

Applying Artificial Intelligence to Career Consultation: A Case Based Reasoning Paradigm for Knowledge Management abstract

Human resource plays a key role in a society and also for all kind of organization, therefore offering a reasonable and intelligent way for selection of a suitable and essential career. Artificial Intelligence (AI) is used today in science, engineering, business, manufacturing, management and many other fields. Expert systems as a branch of AI have attracted the at-tention of mostly large and medium organizations for doing some human’s activities. Case Based Reasoning (CBR) is also a new problem solving paradigm that in many ways is fun-damentally different from other major AI approaches. Instead of relying solely on general knowledge of a problem domain, or making associations along generalized relationships be-tween problem descriptors and conclusions, CBR is able to utilize the specific knowledge of previously experienced situations. This research work presents a model for designing an intelligent career consultation system using case-based reasoning which recommends suitable jobs for applicants. This system, as a sample, has been implemented in an Iranian organization.

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Applying Artificial Intelligence to Career Consultation: A Case Based Reasoning Paradigm for Knowledge Management authors

محمد فتحیان

University of Science Technology