The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

A Knowledge-assisted Hybrid System for effectively Supporting Personalization of a Web Customer

웹 고객의 개인화를 지원하는 지식기반 통합시스템

  • Published : 2002.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

Many customers consult the Internet before making purchase goods and using contents. The systems in the Internet could store a lot of data and classify the data into information to get relationship between a company and customers. To do that, let's consider a knowledge-assisted hybrid system that utilizes individually a customer's preference to make an optimal solution in the his/her decision making. The knowledge made by using the preference is employed to select an domain set appropriate to him/her business, and the process of selecting definitely provides the customer some benefits: elimination of discomfort from unknown information and reduction of costs and search time for forming an suitable domain set. To effectively adopt individual customer's preference and actively adapt change of business situation, this study propose an architecture of the system which includes rule presentations and an inference engine, and integrates a knowledge-based component into a quadratic programming component. In the experimental results, it is found that a knowledge-assisted hybrid system implemented by this idea is more flexible than existing systems in extension of knowledge about an customer's preference and goes beyond the traditional models.

인터넷이 등장하면서 수 많은 고객이 웹 사이트를 방문하고, 구매나 컨텐츠 이용 등의 다양한 활동을 하게 된다. 그로 인해 웹 시스템에는 방대한 양의 자로가 축적되고 그 자료는 고객의 개인화(Personalization)된 서비스를 가능하게 한다. 고객의 개별적인 특성이나 선호도를 반영한 개인화는 웹 시스템은 봇물처럼 개발되고 있으며, 인터넷 시스템에서 고객의 정보를 분류하기 위해서는 정성적인 지식과 정량적인 지식을 체계적으로 반영하여야 한다. 이러한 두 종류의 지식이 최적의 솔루션을 제공할 수 있도록 사용되어지기 위해서는 일관성과 유연성을 갖는 지식 통합이 이루어져야 한다. 지식 통합은 고객의 개인 선호도를 반영하거나 잘 분류할 수 있게 하기 위해서 먼저 지식 표현이 전제된다. 본 연구는 이러한 지식 통합시스템을 웹 투자 고객에 초점을 맞추어 프로토타입을 개발하였다. 개발된 시스템은 정성적 지식의 추출과 추론 방식 그리고 정성적 지식과 정량적 지식과의 통합 방식을 사용하고 있으며, 고객의 개인 선호도 입력에서부터 포트폴리오 구성가지 전반적인 프로시져를 잘 반영하고 있다. 제안한 지식기반 통합 모형을 가지고 실험적인 분석을 통하여 개인 선호도를 고려한 투자의사결정 문제의 퇴적 포트폴리오 구성에서 우수성을 보이며 정성적 지식이 갖는 투자환경의 변화에 매우 탄력적임을 보여준다.

Keywords

References

  1. 지청, 조담, 현대투자론, 박영사, 1999
  2. Blume, Marshall, and Irwin Friend, 'The Asset Structure of Individual Portfolios and Some Implications for Utility Functions,' Journal of Finance, 10, No.2, pp.585-603, May, 1975 https://doi.org/10.2307/2978737
  3. Butta, P. and P. Johnson, The Ultrust Investor Assistant: An Embedded AI Application, Investment Management: Decision Support and Expert Systems, pp.201-211, 1989
  4. Byrd, T. A., 'Implementation and use of expert systems in organizations: perceptions of knowledge engineers,' Journal of Management Information Systems 8(8), pp.97 -116, 1992 https://doi.org/10.1080/07421222.1992.11517941
  5. Chan, Y. Y., T. S. Dillon, and E. G. Saw, Port-Man: An Epert System of Portfolio Management in Bamks, Expert Systems in Economics, Banking and Management, pp. 87-96, 1989
  6. Chen, Andrew, 'Portfolio Selection with Stochastic Cash Demand,' Journal of Financial and Quantitative Analysis, XII, No.2, pp.197-213, June, 1977 https://doi.org/10.2307/2330430
  7. Cohn, Richard, Wilbur Lewellen, Ronald Lease and Gary Schlarbaum, 'Individual Investor Risk Aversion and Investment Portfolio Composition,' Journal of Finance, 10, No.2, pp.605-620, May, 1975 https://doi.org/10.2307/2978738
  8. Dutta, S., 'Strategies for implementing knowledge-based systems,' IEEE Transactions on Engineering Management 44(1), pp.79-90, 1997 https://doi.org/10.1109/17.552810
  9. Engelmore, R. S., 'Knowledge-based Systems in Japan,' Baltimore, Japanese Technology Evaluation Center, 1993
  10. Geske, R. and R. Roll, 'The Fiscal and Monetary Linkage between Stock Returns and Inflation,' Journal of Finance, 18, No.2, pp.1-33, May, 1983 https://doi.org/10.2307/2327635
  11. Gruber, T. R., 'The Role of Standard Knowledge Representation for Sharing Knowledge-Based Technology,' Stanford University, Knowledge Systems Laboratory, Technical Report KSL - 90 -53, August, 1990
  12. Heijst, G., M. Hofman, E. Kruizinga, R. van der Spek, 'Al-Techniques and the Knowledge Pump,' Proceedings of the AAAI Spring Symposium on Artificial Intelligence in Knowledge Management, Stanford University, Palo Alto, pp.168-171, 1997
  13. Heuer S., U. Koch, and Colin Cryer, INVEST : An Expert System for Financial Investment, IEEE Expert, pp.60-68, Summer, 1988 https://doi.org/10.1109/64.2106
  14. Kraft, Johm and Arthur Kraft, 'Determinants of Common Stock Prices: A Time Series Analysis,' Journal of Finanee, 32, No.2, pp.417-425, May, 1977 https://doi.org/10.2307/2326775
  15. Lee, J. K., R. R. Trippi, S. C. Chu, and H. S. Kim, K-FOLIO : Integrating the Markowitz Model with a Knowledge-based System, Journal of Port/olio Management, 17, pp.89-93, 1990 https://doi.org/10.3905/jpm.1990.409299
  16. Lee, J. K., Y. U. Song, 'Unification of Linear Programming with a Rule-based System by the Post-model Analysis Approach,' Management Science, 41(5), pp.835-847, 1995 https://doi.org/10.1287/mnsc.41.5.835
  17. Levy, Hain and Marshal Samat, 'International Diversification of Investment Portfolio,' American Economic Review, Vol.60, pp.668-75, Sept. 1970
  18. Lehner, F., 'Expert systems for organizational and managerial tasks,' Informntion and Management, 23(1), pp.31-41, 1990 https://doi.org/10.1016/0378-7206(92)90052-H
  19. Madhavan, R. K., Goal-based Reasoning for Securities Analysis, AI Expert, pp.23-29, 1994
  20. Markowitz, Harry, Portfolio Selection: Efficient Diversification of Investments, New York, John Wiley & Sons, 1959
  21. Nam, S. and J. K. Lee, Object Oriented Optimal Savings System: HYPER-SAVINGS, International Journal of Intelligent Systems in Accounting, Finance and Management, 6(4), 1997
  22. Neches, R., R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, W.R. Swartout, 'Enabling technology for knowledge sharing,' AI Magazine 12(3), pp.16-36, 1991
  23. Nikolopoulos, C. and P. Fellrath, A Hybrid Expert System for Investment Advising, Expert Systems, 11(4), pp.245-250, 1994 https://doi.org/10.1111/j.1468-0394.1994.tb00332.x
  24. Ram, S., and S. Ram, Screening Financial Innovations : An Expert System Approach, IEEE Expert, pp.20-28, 1990 https://doi.org/10.1109/64.58018
  25. Rosenberg, Michael R., 'A Framework for Formulating International Fixed Income Strategy,' Journal of Portfolio Management, pp.70-76, Summer, 1990
  26. Sharpe, Wiliam F., 'Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk,' Journal of Finance, 425-442, Sept. 1964 https://doi.org/10.2307/2977928
  27. Skalak, D. B., Trading Rules and Trading Cases in a Hybrid Architecture, Proceedings of the Second International Conference on Artificial Intelligence Applications on Wall Street, pp.252-258, 1993
  28. Solnik, Bruno H., 'Why Not Diversify Internationally Rather Than Domestically',' Financial Analyst Journal, pp. 48-52, July-Aug. 1974 https://doi.org/10.2469/faj.v51.n1.1864
  29. Wong, B. K., J. A. Monaco, 'Expert system applications in business: A review and analysis of the literature,' Information and Management 29, pp.141-152, 1995 https://doi.org/10.1016/0378-7206(95)00023-P