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Bi-directional Fuzzy Matching Algorithm  

Kim, Hyoung-Rae (한국고용정보원)
Jeong, In-Soo (한국고용정보원)
Publication Information
Journal of Internet Computing and Services / v.12, no.3, 2011 , pp. 69-76 More about this Journal
Abstract
Matching customers becomes the key function in on-line mediate services. There are two matching methods: one-directional matching that requires requests from one side(e,g., information searching), bi-directional matching that considers requests from both sides. Previous bi-directional matching has difficulties of getting the interests explicitly and service collapse problems when the opposite side do not put responding interests. This paper attempts to automate the inputs of interests for bi-directional matching by calculating the interests with fuzzy matching algorithm for optimization. The results of the proposed Bi-directional Fuzzy Matching(BDFM) algorithm told that the job placement accuracy of employment information matching results is over 95%. And, BDFM gives statically significant positive effect for motivating the employment activities when analyzed the effect after completing the implementation.
Keywords
Matching optimization; Bi-directional fuzzy matching algorithm; Employment information matching;
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