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

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.