Earticle

초록

영어

The problem of choosing the right product that will best fit the consumers’ tastes and preferences also extends even in electronic commerce. However, e-commerce was able to create a technological proxy for this social filtering process that is called online Recommender Systems (RS). RS act as personalized decision guides, aiding users in decisions on matters related to personal taste. It has the potential to support and improve the quality of the decisions consumers make when searching for and selecting products and services online. However, most previous research on RS has focused on the statistical accuracy of the algorithms driving the systems, with little emphasis on interface issues and the user’s perspective. This study identified transparency and feedback as some of the possible ways to effectively evaluate recommender systems based from the users’ perspective. Thus, the goal of this research wants to focus on examining and identifying the roles of transparency and feedback in recommender systems and how it affect the user’s attitude towards the system.

목차

Abstract
 1. Introduction
 2. Review of Related Literature
 3. Methodology
 References

키워드

저자

• Januel L. Hebrado [ Department of Business Administration, The Catholic University of Korea ]
• Hong Joo Lee [ Department of Business Administration, The Catholic University of Korea ]
• Jaewon Choi [ Techno management Institute, KAIST Business School ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2025

• 십진분류

  KDC 325 DDC 658