Earticle

초록

영어

The success of an exhibition depends on the number of visitors and exhibitors. For such a purpose, it is necessary to recommend right exhibitor and right prospective visitors into right exhibition. In this research, we suggest a recommendation methodology for acquisition of prospectors. The proposed methodology is evaluated with the collected data from surveys. From the experimental results, we can see that degree of recommendation satisfaction, and novelty and serendipity of the proposed methodology are better than those of the item-based collaborative filtering. We expect that the proposed methodology can be extended into other areas such as museum and concert.

목차

Abstract
 1. Introduction
 2. Related work
  2.1 Acquisition of prospective customers
  2.2 Collaborative filtering
 3. Methodology
  3.1 Creation of a visitor profile on exhibition
  3.2 Calculation of exhibition similarity
  3.2 Generation of top-N prospective visitors
 4. An illustrative example
 5. Experimental evaluation
  5.1 Data Set
  5.2 Evaluation metrics
  5.3 Experimental results and discussions
 6. Conclusion and future work
 Acknowledgment
 References

키워드

저자

• Il Young Choi [ School of Management and Management Research Institute, Kyunghee University ]
• Jae Kyeong Kim [ School of Management and Management Research Institute, Kyunghee University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2025

• 십진분류

  KDC 325 DDC 658