Earticle

초록

영어

This paper presents a novel method for evaluating the usefulness of online product recommendation. Previous studies on evaluating recommendation systems have mostly relied on two methods：testing the accuracy of estimating user preferences by recommendation systems, or empirically testing the effectiveness with lab experiments involving human participants. The former does not measure the usefulness directly and hence can be misleading; the latter is expensive in that it requires a working online store system and test participants. In order to address the problems, the proposed approach uses simulation to imitate customer behavior and evaluate the usefulness of recommendation. Models for user behavior and an abstract Internet store are developed for simulation. Actual simulation experiments are performed to illustrate the use of the approach.

목차

Abstract
 1. Introduction
 2. Literature Review
 3. Research Models
  3.1 OveNiew of the Research
  3.2 Description of the Research Models
 4. Experiments
  4.1 Goal of the Experiments
  4.2 Overview of the Experiments
  4.3 Basic Comparison
  4.4 Effects of the integrity of sorting
 5. Discussion and Conclusion
  5.1 Discussion
  5.2 Conclusion
 Reference

키워드

저자

• Hyung Jun Ahn [ Assistant Professor, College of Business Administration, Hongik University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005