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A Hybrid Multimedia Contents Recommendation Procedure for a New Item Problem in M-commerce
김재경,조윤호,강미연,김혜경,Kim Jae-Kyeong,Cho Yoon-Ho,Kang Mi-Yeon,Kim Hyea-Kyeong 한국지능정보시스템학회 2006 지능정보연구 Vol.12 No.2
Currently the mobile web service is growing with a tremendous speed and mobile contents are spreading extensively. However, it is hard to search what the user wants because of some limitations of cellular phones. And the music is the most popular content, but many users experience frustrations to search their desired music. To solve these problems, this research proposes a hybrid recommendation system, MOBICORS-music (MOBIle COntents Recommender System for Music). Basically it follows the procedure of Collaborative Filtering (CF) system, but it uses Contents-Based (CB) data representation for neighborhood formation and recommendation of new music. Based on this data representation, MOBICORS-music solves the new item ramp-up problem and results better performance than existing CF systems. The procedure of MOBICORS-music is explained step by step with an illustrative example. 휴대폰, PDA등 모바일 단말기의 급속한 진화와 광범위한 보급으로 인하여 모바일 웹 서비스가 빠르게 확산되고 있으며 모바일 컨텐츠 시장 또한 급성장하고 있다. 이에 따른 새로운 멀티미디어 컨텐츠의 활발한 공급은 모바일 웹 사용자들에게 많은 멀티미디어를 획득할 수 있는 기회를 제공하는 동시에 정보과부하로 인한 컨텐츠 검색의 어려움을 겪게 하고 있다. 본 연구는 신상품에 대한 니즈가 높은 모바일 멀티미디어 컨텐츠의 특성과 기존 유선 웹 환경에 비해 열악한 모바일 웹 환경의 제약 사항을 고려하여, 모바일 웹 서비스 이용 고객이 보다 적은 노력과 비용으로 원하는 멀티미디어 컨텐츠를 신속하게 찾을 수 있도록 지원하는 개인화 된 멀티미디어 컨텐츠 추천 방법론을 개발하는 것이다. 이를 위하여 기존 추천시스템에서 대표적으로 사용되는 협업필터링(Collaborative Filtering) 기법의 한계를 보완하기 위하여 내용기반 필터링 기법(Content-based Filtering)을 결합한 하이브리드 추천 기법을 개발하였다. 제안한 하이브리드 기법은 모바일 환경에서 적은 계산으로도 높은 추천 성능과 함께 신상품추천이 가능한 방법이며, 이를 구현하기 위하여 멀티미디어 컨텐츠 추천시스템, MOBICORS-music(MOBIIe Contents Recommender System for Music)을 개발하였다.
A Collaborative Filtering-based Product Recommender in Electronic Commerce
김재경(Jae Kyeong Kim),조윤호(Yoon Ho Cho) 한국경영과학회 2002 한국경영과학회 학술대회논문집 Vol.2002-A No.-
Collaborative filtering has been known to be the most successful recommendation technique that has been used in a number of different applications As both the number of customers and the number of products managed in an e-commerce site grow rapidly, however. its widespread use in e-commerce has exposed two major issues that must be addressed The first issue is to reduce the sparsity for the better quality of recommendations and the second issue is to improve the scalability for the better system performance In this paper, we propose a recommendation methodology based on Web usage mining and the product taxonomy to address these issues Web usage mining populates the rating database by tracking the customer shopping behavior on the Web, so results in overcoming the sparsity problem The product taxonomy is used both to reduce the sparsity of ratings and to improve the scalability of searching for like-mined customers through dimensionality reduction of the rating database We experimentally evaluate our methodology on real edata and compare them to the nearest neighbor algorithm Experimental results show that our methodology provides higher quality recommendations and better performance than the nearest neighbor algorithm.
재래시장 활성화를 위한 u-Market 시스템 아키텍처 설계 및 시스템 개발
김재경(Jae Kyeong Kim),최일영(Il Young Choi),채경희(Kyung Hee Chae),김혜경(Hyea Kyeong Kim),지용구(Yong Gu Ji),정혜정(Hye Jung Jung) 한국지능정보시스템학회 2008 지능정보연구 Vol.14 No.2
Traditional market which is characterized by the folksy retailing market has lost its competitiveness rapidly due to the emergence of the Internet and the change of customer’s purchasing behavior. The recession of the traditional market contracts the regional economy. We suggest a u-Market, a traditional market with ubiquitous computing capability, to revitalize traditional market. The suggested u-Market system applies ubiquitous computing technologies characterized by communications between customers and objects without limitations of time and location. The proposed u-Market system offers location information and specific contents of traditional market to customers. Furthermore, u-Market system recommends the store and product list that customers are likely to visit and purchase based on their contexts, so they can save their time and effort to search the products or contents.
RFID 기반 이력추적 시스템을 이용한 농축산물 추천방법
김재경(Jae Kyeong Kim),김혜경(Hyea Kyeong Kim) 한국지능정보시스템학회 2008 지능정보연구 Vol.14 No.2
This research suggests the method of how to build agricultural and stockbreeding products recommender systems based on RFID technology for monitoring crop and livestock production, tracing production history as an application strategy. In the past the studies on enterprise applications have been barely implemented owing to the rack of business model and limitation of technical development. Currently however there have been enormous technological progress of RFID and agricultural and stockbreeding products retailing sites are increased. Therefore this paper suggests PDCF-ASP(Profile Decay based Collaborative Fltering for Agricultural and Stockbreeding Products) which is designed to reduce customers’ search efforts in finding safety and fresh products on the internet shopping mall. For this, product decay function is defined to make sure whether the products are safety or not and to adopt a change in customer preferences. And for the implementation of PDCF-ASP, the system structure including functional agents is schematized.
생활체육 참여가 사회자본 형성에 주는 영향의 실증적 분석
김재경 ( Jae Kyeong Kim ),박득희 ( Deuk Hee Park ),( Mitsuo Sasaki ),정순옥 ( Soon Ok Jung ) 한국지식경영학회 2012 지식경영연구 Vol.13 No.4
This study is to analyze the effect of participation in sports for all on the formation of social capital. For this purpose, this study used convenience sampling method with the 150 subjects who participated Sports for All in Seoul and Gyeonggi area. and selected 150 questionnaires excluding 30 unsuitable for the data. For data analysis was made by SPSS 17.0, performing exploratory factor analysis, reliability analysis, correlation analysis and multiple regression model. This analysis reveals that (1) participation eagerness in sports for all influence on influence on the formation of social capital.(social capital consist of information sharing, norms, trust, network) (2) participation period of time and participation frequency in sports for all don`t influence on on the formation of social capital. (3) socioeconomic background don`t influence on the formation of social capital. Therefore, it is necessary to improve the eagerness in sports for all.
사회 네트워크 분석을 이용한 충성고객과 이탈고객의 구매 특성 비교 연구
김재경(Jae Kyeong Kim),최일영(Il Young Choi),김혜경(Hyea Kyeong Kim),김남희(Nam Hee Kim) 한국경영과학회 2009 經營 科學 Vol.26 No.1
Customer retention has been a pressing issuefor companies to get and maintain the loyal customers in the competing environment. Lots of researchers make effort to seek the characteristics of the churning customers and the loyal customers using the data mining techniques such as decision tree. However, such existing researches don't consider relationships among customers. Social network analysis has been used to search relationships among social entities such as genetics network, traffic network, organization network andso on. In this study, a customer network is proposed to investigate the differences of network characteristics of churning customers and loyal customers. The customer networks are constructed by analyzing the real purchase data collected from a Korean cosmetic provider. We investigated whether the churning customers and the loyal customers have different degree centralities and densitiesof the customer networks. In addition, we compared products purchased by the churning customers and those by the loyal customers. Our data analysis results indicate that degree centrality and density of the churning customer network are higher than those of the loyal customer network, and the various products are purchased by churning customers rather than by the loyal customers. We expect that the suggested social network analysis is used to as a complementary analysis methodology with existing statistical analysis and data mining analysis.
Cost-Based Directed Scheduling : Part I, An Intra-Job Cost Propagation Algorithm
Jae Kyeong Kim(김재경),Min Soo Suh(서민수) 한국지능정보시스템학회 2007 지능정보연구 Vol.13 No.4
Constraint directed scheduling techniques, representing problem constraints explicitly and constructing schedules by constrained heuristic search, have been successfully applied to real world scheduling problems that require satisfying a wide variety of constraints. However, there has been little basic research on the representation and optimization of the objective value of a schedule in the constraint directed scheduling literature. In particular, the cost objective is very crucial for enterprise decision making to analyze the effects of alternative business plans not only from operational shop floor scheduling but also through strategic resource planning. This paper aims to explicitly represent and optimize the total cost of a schedule including the tardiness and inventory costs while satisfying non-relaxable constraints such as resource capacity and temporal constraints. Within the cost based scheduling framework, a cost propagation algorithm is presented to update cost information throughout temporal constraints within the same job.