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On-line Recommendation Service Algorithm using Human Sensibility Ergonomics  

임치환 (서원대학교 경영학부 경영정보학과)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.27, no.1, 2004 , pp. 38-46 More about this Journal
Abstract
To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. This paper deals with an intelligent agent approach to incorporate customer's sensibility into an one-to-one recommendation service in on-line shopping mall. In this paper the focus of interest is on-line recommendation service algorithm for development of Human Sensibility based web agent system. The recommendation agent system composed of seven services including specialized algorithm. The on-line recommendation service algorithm use human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system's behavior requires the parallel execution of several tasks during the interaction (e.g., identifying the customer's emotional preference and dynamically generating the pages of the store catalog). Most of the present shopping malls go through the catalog of goods, but the future shopping malls will have the form of intelligent shopping malls by applying the on-line recommendation service algorithm.
Keywords
Recommendation Service Algorithm; Human Sensibility Ergonomics; Agent System;
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