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클러스터링 기반 사례기반추론을 이용한 웹 개인화 추천시스템
서보밀,홍태호,이희정 한국지능정보시스템학회 2005 지능정보연구 Vol.11 No.1
최근, 추천시스템과 협업 필터링에 대한 연구가 학계와 업계에서 활발하게 이루어지고 있다. 하지만, 제품 아이템들은 다중값 속성을 가질 수 있음에도 불구하고, 기존의 연구들은 이러한 다중값 속성을 반영하지 못하고 있다. 이러한 한계를 극복하기 위하여, 본 연구에서는 추천시스템을 위한 새로운 방법론을 제시하고자 한다. 제안된 방법론은 제품 아이템에 대한 클러스터링 기법에 기반하여 다중값 속성을 활용하며, 정확한 추천을 위하여 협업 필터링을 적용한다. 즉, 사용자 간의 상관관계만이 아니라 아이템 간의 상관관계를 고려하기 위하여, 사용자 클러스터링에 기반한 사례기반추론과 아이템 속성 클러스터링에 기반한 사례기반추론 모두가 협업 필터링에 적용되는 것이다. 다중값 속성에 기반하여 아이템을 클러스터링 함으로써, 아이템의 특징이 명확하게 식별될 수 있다. MovieLens 데이터를 이용하여 실험을 하였으며, 제안된 방법론이 기존 방법론의 성능을 능가한다는 결과를 얻을 수 있었다. Recently, many researches on recommendation systems and collaborative filtering have been proceeding in both research and practice. However, although product items may have multi-valued attributes, previous studies did not reflect the multi-valued attributes. To overcome this limitation, this paper proposes new methodology for recommendation system. The proposed methodology uses multi-valued attributes based on clustering technique for items and applies the collaborative filtering to provide accurate recommendations. In the proposed methodology, both user clustering-based CBR and item attribute clustering-based CBR technique have been applied to the collaborative filtering to consider correlation of item to item as well as correlation of user to user. By using multi-valued attribute-based clustering technique for items, characteristics of items are identified clearly. Extensive experiments have been performed with MovieLens data to validate the proposed methodology. The results of the experiment show that the proposed methodology outperforms the benchmarked methodologies: Case Based Reasoning Collaborative Filtering (CBR_CF) and User Clustering Case Based Reasoning Collaborative Filtering (UC_CBR_CF).
온라인 소셜 네트워크의 특성과 사용자의 이용 목적에 대한 탐색적 연구
서보밀(Bomil Suh) 한국데이타베이스학회 2013 Journal of information technology applications & m Vol.20 No.2
As the number of SNS users is increasing, it has been very important how companies use SNS strategically. As a result, studies have been performed for the utilization of SNS. Most of the studies, however, focused on the overall characteristics of SNS and did not consider the characteristics of individual oriented purpose, and identified the types of SNS from two viewpoints : service type and openness. Based on the classification, this study identified the characteristics of Cyworld, Facebook, and Twitter respectively, and analyzed the difference of the purpose of SNS users according to the characteristics of each service. The results showed that more users had the information-oriented purpose in the order of Twitter, Facebook, and Cyworld. There was no difference in the relation-oriented purpose among the three services. The analyses of the motive to join a group or a party made similar results. The results of additional analyses showed that the ration of users with many acquaintances was high in the order of Facebook, Twitter, and Cyworld. In addition, more users checked their timeline or news feed more frequently in the order of Facebook, Twitter, and Cyworld.
온라인 소셜 네트워크 서비스 환경에서 오피니언 리더십이 구전의 방향성에 따른 태도 변화에 미치는 영향
서보밀(Bomil Suh),박지혜(Ji Hye Park) 한국전자거래학회 2013 한국전자거래학회지 Vol.18 No.2
소셜 네트워크 서비스(SNS)의 이용이 확산되어 감에 따라, 경영학적 관점에서 SNS를 활용하기 위한 노력들이 다양하게 전개되고 있다. 특히, 구전효과와 같은 마케팅 분야에서의 연구가 활발히 진행되는 상황이다. 본 논문에서는 SNS에서 지인이 작성한 구전 정보가 SNS 사용자의 제품에 대한 태도에 미치는 영향에 대하여 살펴보았다. 또한, 지인의 오피니언 리더십이 이러한 구전효과에 어떠한 영향을 미치는지를 연구하였다. 51명의 페이스북 사용자를 대상으로 자신들의 지인 4인에 대하여 각각 설문 응답을 받아 분석을 실시하였다. 회귀분석 결과, SNS 환경에서도 구전효과가 존재한다는 것이 검증되었으며, 구전 정보를 작성한 지인의 오피니언리더십이 이러한 구전효과에 양의 조절효과가 있다는 것이 검증되었다. As the number of online social networking service (SNS) users is increasing, various efforts are being deployed to take advantage of SNS from the perspective of business and management. Especially, researches in the field of marketing such as word-of-mouth (WOM) effect have been actively conducted. This paper examined the impact of the SNS messages of users’ friends on the users’ attitude and the moderating effect of the friends’ opinion leadership on the WOM effect. Fifty-one Facebook users responded to the questions on their four friends each. Regression analyses showed that there existed WOM effect under the SNS environment and the opinion leadership of the message creators positively moderated the WOM effect. We discussed the contributions and implications of this study.
소프트웨어 불법복제에 영향을 미치는 환경 요인에 기반한 국가 분류
서보밀 ( Suh Bomil ),심준호 ( Shim Junho ) 한국정보시스템학회 2017 情報시스템硏究 Vol.26 No.4
Purpose: As the importance of software has been emphasized recently, the size of the software market is continuously expanding. The development of the software market is being adversely affected by software piracy. In this study, we try to classify countries around the world based on the macro environmental factors, which influence software piracy. We also try to identify the differences in software piracy for each classified type. Design/methodology/approach: The data-driven approach is used in this study. From the BSA, the World Bank, and the OECD, we collect data from 1990 to 2015 for 127 environmental variables of 225 countries. Cronbach's α analysis, item-to-total correlation analysis, and exploratory factor analysis derive 15 constructs from the data. We apply two-step approach to cluster analysis. The number of clusters is determined to be 5 by hierarchical cluster analysis at the first step, and the countries are classified by the K-means clustering at the second step. We conduct ANOVA and MANOVA in order to verify the differences of the environmental factors and software piracy among derived clusters. Findings: The five clusters are identified as underdeveloped countries, developing countries, developed countries, world powers, and developing country with large market. There are statistically significant differences in the environmental factors among the clusters. In addition, there are statistically significant differences in software piracy rate, pirated value, and legal software sales among the clusters.
방송 매체 간 경쟁 상황에서의 활용 자원에 기반한 IPTV 고객 세분화
서보밀(Bomil Suh) 한국데이타베이스학회 2012 Journal of information technology applications & m Vol.19 No.2
Since 2008 when IPTV service entered the broadcasting market, the competition among interactive broadcasting media has been growing more and more fierce. To make a market strategy under the harsh competition, this study tried to make an IPTV customer segmentation based on the characteristics of interactive broadcasting media. From previous literature, this study drew five characteristics of interactive broadcasting media : ease of use, two-way communications, active control, variety of content, and economic efficiency. Two-step clustering based on these characteristics identified four customer segments. There were statistically significant differences in the five characteristics among the customer segments. This study profiled the customer segments and proposed competitive strategies for each customer segment.