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Customizing Intelligent Recommendation System based on Compound Knowledge

복합지식 기반 개인 맞춤형 지능화 추천시스템

  • Received : 2010.07.13
  • Accepted : 2010.07.26
  • Published : 2010.08.28

Abstract

This research does focus on realization of customizing recommendation service that all of formal, or informal learning is accomplished at real time according to worker's current situation or business context corresponding with the individual ability and the learning progress at industry or education field. For this, we designed the customizing intelligent recommendation system based on compound knowledge that workers can listen to coaching advices at real time and to retrieve and recommend multidimensional relation easily. Also, we constructed the repository based on compound knowledge and process engine for efficient management of compound knowledge. In specific industry, expert solution or coaching service will be created using the knowledge which is accumulated in long-term.

Keywords

Compound Knowledge;Recommendation System;Collaborative Filtering

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Cited by

  1. A Customer Profile Model for Collaborative Recommendation in e-Commerce vol.11, pp.5, 2011, https://doi.org/10.5392/JKCA.2011.11.5.067