• 제목/요약/키워드: Customer Shopping Pattern

검색결과 39건 처리시간 0.018초

오프라인 쇼핑몰에서 고객의 과거 구매 패턴을 활용한 아이템 기반 협업필터링 성능 개선에 관한 연구 (Improvement of Item-Based Collaborative Filtering by Applying Each Customer's Purchase Patterns in Offline Shopping Malls)

  • 정석봉
    • Journal of Information Technology Applications and Management
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    • 제24권4호
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    • pp.1-12
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    • 2017
  • Item-based collaborative filtering (IBCF) is an important technology that is widely used in recommender system of online shopping malls. It uses historical information to compute item-item similarity and make predictions. However, in offline shopping each customer's purchasing pattern can be occurred continuously and repeatedly due to time and space constraints contrast to online shopping. Those facts can make IBCF to have limitations from being applied to offline shopping malls directly. In order to improve the quality of recommendations made by IBCF in offline shopping mall, we propose an ensemble approach that considers both item-item similarity of IBCF and each customer's purchasing patterns which are modeled by item networks. Our experimental results show that this approach produces recommendation results superior to those of existing works such as pure IBCF or bestseller approaches.

A Post-Analysis of Decision Tree to Detect the Change of Customer Behavior on Internet Shopping Mall

  • Kim, Jae kyeong;Song, Hee-Seok;Kim, Tae-Sung
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.456-463
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    • 2001
  • Understanding and adapting to changes of customer behavior in internet shopping mall is an important aspect to survive in continuously changing environment. This paper develops a methodology based on decision tree algorithms to detect changes of customer behavior automatically from customer profiles and sales data at different time snapshots. We first define three types of changes as emerging pattern, unexpected change and the added/perished rule. Then, it is developed similarity and difference measures for rule matching to detect all types of change. Finally, the degree of change is developed to evaluate the amount of change. A Korean internet shopping mall case is evaluated to represent the performance of our methodology. And practical business implications for this methodology are also provided.

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시계열 패턴을 이용한 인터넷 쇼핑몰에서의 구매시점 추천 (Buying Point Recommendation for Internet Shopping Malls Using Time Series Patterns)

  • 장은실;이용규
    • 한국전자거래학회:학술대회논문집
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    • 한국전자거래학회 2005년도 종합학술대회
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    • pp.147-153
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    • 2005
  • 최근 인터넷 쇼핑몰에서 상품을 구매하는 고객들에게 편의성과 효율성을 제공하기 위하여 구매자들의 선호도나 가격에 맞는 상품을 추천해 주는 연구들이 활발하게 진행되고 있지만추천된 상품들의 구매시점에 관한 연구는 찾아보기 어렵다. 이에 본 논문에서는 인터넷 쇼핑몰의 적극적인 마케팅 일환으로 판매가격의 흐름을 시계열 패턴으로 분석하여 상품의 구매시점 정보를 제공하는 방안을 제안한다. 이를 위하여 과거의 판매 기록 데이터베이스에 있는 판매가격의 기준이 되는 패턴과 유사한 변화를 보이는 패턴을 정규화된 유사도로써 검색하고, 검색된 가격 패턴을 기준으로 미래의 가격 패턴의 변화를 분석하여, 미래 가격 패턴의 변화 폭에 따라 상품에 대한 구매시점을 제공한다.

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Korean Customer Attitudes Towards Retail Regulations

  • Cho, Young-Sang;Chung, Lak-Chae;Yu, Pom-Tong
    • 유통과학연구
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    • 제14권1호
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    • pp.51-58
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    • 2016
  • Purpose - This study is to identify how the retail regulations influence customer shopping behaviours and furthermore, whether the Store Closing Act really protects independent retailers as well as traditional markets in Korea. Research design, data, and methodology - By adopting frequency analysis and factor analysis method, the research achieved research objectives. Before a field survey, the authors pre-tested the questionnaire developed, based on similar previous articles, and finalized. Amongst the 353 questionnaires distributed, 332 were returned. It means the response rate is 94.5%. Furthermore, available questionnaires are 330. Results - Rather than stimulating customers to more frequently visit public markets, the regulation has provoked new customer shopping behaviours. In other words, some consumers tend to shop in big box retailers before or after a store closing day, whereas others are likely to stop shopping. What is important is that customers do not patronise small retailers and conventional markets, thanks to the Store Closing Act. Conclusions - In order to keep retailers and public markets independent, the researchers suggest that the government should introduce new techniques without impeding the growth of a retailing sector.

AI Comparative Analysis of Trade and Consumption Patterns in Korea and China

  • Chang Hwan Choi;Thi Thanh Tuyen Nguyen;PengYan Wang
    • Journal of Korea Trade
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    • 제27권1호
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    • pp.119-138
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    • 2023
  • Purpose - This research is to empirically explore the differences in apparel consumption among male and female teenagers and college students in Korea and China. By conducting a survey to understand customers' needs and behaviors, fashion businesses will be able to improve their customer satisfaction and avoid redundancy, inventory, and the waste of resources, effort and money. Design/methodology - The research design considers the consumption patterns of male and female high school and college students in Korea and China. To analyze the data, the study employs decision trees, a type of machine learning algorithm. A decision tree model was developed to examine the relationship between the explanatory and response variables, which can be either quantitative or qualitative in nature. Findings - The main findings of this study indicate that there are differences in shopping behavior among different customer segments. The results show that men have a simpler shopping behavior compared to women. Additionally, cultural factors and the difference in fashion needs between students and non-students have a significant impact on the shopping choices of Chinese and Korean individuals. Originality/value - Existing studies often assume that the shopping behavior of high school and university students is similar and that there are no significant differences in clothing purchases between men and women across countries. The results provide valuable insights into the unique shopping behavior of different customer segments, and can inform fashion businesses in their efforts to meet the needs of their customers.

인터넷 쇼핑몰의 서비스 품질에 대한 동태적 자원배분 의사결정 (A Dynamic Resource Allocation on Service Quality of Internet Shopping-mall)

  • 곽수일;최강화;김수욱
    • 품질경영학회지
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    • 제33권4호
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    • pp.21-41
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    • 2005
  • This study analyzes the Internet utilization pattern of customer by comprehensively investigating the previous studies on the behavior pattern of customer in terms of Internet business. Based on the analysis, this study develops research framework that supports strategic decision-making for resource allocation in Internet business. Such research framework would be helpful for providing the typology of Internet business model that can be specialized by each industry. As a result of the simulation analysis, it was found that the optimal resource allocation portfolio providing maximum profits to the Internet bookstore involves large-scale investment on delivery service and customer support service which are the key factors for post-purchase customer satisfaction, regardless of the growth pattern or size of Internet bookstore market. Consequently, from the above analysis, the investment ratio of resources for the profit maximization of Internet bookstore was drawn. Conclusively, based on the comprehensive examination of the results, this study provided a framework for dynamic resource allocation decision-making, and proposed a management strategy which allows consumers to shop under more favorable environment, and simultaneously enables the Internet bookstore to accomplish management objectives such as continuous growth and profit maximization.

e-CRM을 위한 B2C Web Site 고객행동모델 분석 및 평가방법에 관한 연구

  • 이경록;서장훈;박명규
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2002년도 추계학술대회
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    • pp.239-246
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    • 2002
  • In this report, we provide the focus on suggesting a method of estimating & measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site which is now known as EC has emerged. The Purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. Result showed that there is a significant relationship between the some customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

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웹 로그를 이용한 고객행동모델 분석방법에 관한 연구 (Analysis Procedure For Customer Behavior Model Using Web-Log)

  • 서장훈;심상용;유웅재
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2006년도 추계공동학술대회
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    • pp.299-307
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    • 2006
  • In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

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연관 마이닝과 고객 선호도 기반의 인터넷 상품 검색 시스템 설계 및 구현 (Design and Implementation of Product Searching System on Internet using the Association Mining and Customer's Preference)

  • 황현숙;어윤양
    • Asia pacific journal of information systems
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    • 제12권1호
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    • pp.1-16
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    • 2002
  • Most of searching systems used by shopping-mall provide too much information for user requirements or fail to provide appropriate items reflecting customer's preference. This paper aims to design and implement the product searching systems based on customer preference which will enable efficient product selection in the internet shopping-mall. The proposed system consists of user/provider interface, searching and model agent, data management system, and model management system. Especially, we construct the searching pattern database to support fast search using association mining method. And this system includes the customer-oriented decision model which shows the highly preferred products. Input weight value per attribute and preference level should be needed to compute priority grade of preference.

웹 로그를 이용한 고객행동모델 분석방법에 관한 연구 (Analysis Procedure For CBM Using Web-Log)

  • 서장훈;박명규
    • 대한안전경영과학회지
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    • 제4권4호
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    • pp.119-128
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    • 2002
  • In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. from this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).