• Title/Summary/Keyword: Shopping agent

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The Factors on the Use of Online Overseas Purchasing Agent Service in China (해외 온라인 개인 구매대행 서비스의 지속적 이용에 대한 영향 요인 연구 : 중국 소비자를 중심으로)

  • Zhou, Yan;Park, Sang-Moon;Kim, Myoung-Soo
    • Journal of Information Technology Applications and Management
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    • v.24 no.1
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    • pp.143-156
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    • 2017
  • As the number of people going aboard is growing and technology is developed rapidly, Chinese customers are also getting better understanding about overseas products, and they hope to get less expensive and better ones, which leads to the growth of the online overseas purchasing agent service. In this paper, we tried to analyze the factors that impact the usage of online overseas purchasing agent service using the survey data. We found that customers pursue not only the reasonable prices but also enjoyment of shopping in the online overseas purchasing agent service. In addition, product scarcity and the information literacy of a customer were positively related with the use of online overseas purchasing agent service.

MORPHEUS: A More Scalable Comparison-Shopping Agent (MORPHEUS: 확장성이 있는 비교 쇼핑 에이전트)

  • Yang, Jae-Yeong;Kim, Tae-Hyeong;Choe, Jung-Min
    • Journal of KIISE:Software and Applications
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    • v.28 no.2
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    • pp.179-191
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    • 2001
  • Comparison shopping is a merchant brokering process that finds the best price for the desired product from several Web-based online stores. To get a scalable comparison shopper, we need an agent that automatically constructs a simple information extraction procedure, called a wrapper, for each semi-structured store. Automatic construction of wrappers for HTML-based Web stores is difficult because HTML only defines how information is to be displayed, not what it means, and different stores employ different ways of manipulating customer queries and different presentation formats for displaying product descriptions. Wrapper induction has been suggested as a promising strategy for overcoming this heterogeneity. However, previous scalable comparison-shoppers such as ShopBot rely on a strong bias in the product descriptions, and as a result, many stores that do not confirm to this bias were unable to be recognized. This paper proposes a more scalable comparison-shopping agent named MORPHEUS. MORPHEUS presents a simple but robust inductive learning algorithm that antomatically constructs wrappers. The main idea of the proposed algorithm is to recognize the position and the structure of a product description unit by finding the most frequent pattern from the sequence of logical line information in output HTML pages. MORPHEUS successfully constructs correct wtappers for most stores by weakening a bias assumed in previous systems. It also tolerates some noises that might be present in production descriptions such as missing attributes. MORPHEUS generates the wrappers rapidly by excluding the pre-processing phase of removing redundant fragments in a page such as a header, a tailer, and advertisements. Eventually, MORPHEUS provides a framework from which a customized comparison-shopping agent can be organized for a user by facilitating the dynamic addition of new stores.

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The Urban Low-income Consumers' Shopping Scope and Information Seeking Behavior (도시 저소득층소비자의 구매장소범위와 정보탐색행동)

  • 이은재
    • Journal of the Korean Home Economics Association
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    • v.27 no.4
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    • pp.85-103
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    • 1989
  • The purpose of this study is to figure out the urban low-income consumers' present possesion condition of electric appliances, the way of purchasing, shopping scope of groceries and electric appliances, and the shopping scope and information seeking behavior of groceries and electric appliances according to the socioeconomic variables, and the shopping scope of electric appliances according to the way of paying price. For this purpose 129 low-income consumers living in Inchon were interviewed through questionnares. Finally 100 questionnares were analyzed. The first major of this study is that the possesion rates of color television set and refrigerator are comparativelyl high, while those of washing machine, record player and camera are low. In case of electric appliances, consumers usually purchase things on credit and as a shopping place, they usually go to a commercial agent. In case of groceries, they usually buy things for cash, and in case of one price labeled groceries they usually buy things at a supermarket. Second, according to the way of paying price, the shopping scope of some electric appliances is broader in case of purchase for cach than in case of purchase on credit. Third, the shopping scope and information seeking behavior classified by the socioeconomic variables according to the income, age and education. That is as the income and education become higher and the age becomes lower, the shopping scope becomes broader, mass media information source is much more uaed and the frequency of seeking becomes higher. Through this study, I would like to suggest the followings. (1) The problem of low-income consumers is closely connected with the low education level, so it can be solved a bit through consumer education. (2) Especially the consumers' problem is more serious in case of those who are aged and get very low income and education. Therefore special attention is needed to those consumers.

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A personalized recommendation methodology using web usage mining and decision tree induction (웹 마이닝과 의사결정나무 기법을 활용한 개인별 상품추천 방법)

  • 조윤호;김재경
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2002.05a
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    • pp.342-351
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    • 2002
  • A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been known to be one of the most successful recommendation methods, but its application to e-commerce has exposed well-known limitations such as sparsity and scalability, which would lead to poor recommendations. This paper suggests a personalized recommendation methodology by which we are able to get further effectiveness and quality of recommendations when applied to an Internet shopping mall. The suggested methodology is based on a variety of data mining techniques such as web usage mining, decision tree induction, association rule mining and the product taxonomy. For the evaluation of the methodology, we implement a recommender system using intelligent agent and data warehousing technologies.

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Back-Office Process Agents and Reference Construction Framework for Internet Shopping Malls (인터넷 쇼핑몰 운영을 위한 후방 프로세스 에이전트와 참조 구축 프레임웍)

  • 박광호
    • Journal of Intelligence and Information Systems
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    • v.5 no.1
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    • pp.167-186
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    • 1999
  • 인터넷 유통업은 기본적으로 대량 트랜잭션 발생을 목표로 한다. 본 논문에서는 인터넷 유통업의 대표적인 형태인 인터넷 쇼핑몰 운영을 위한 내부 프로세스 에이전트를 정의하고 이들의 참조 구축 프레임웍을 제시하고 있다. 인터넷 쇼핑몰의 후방 프로세스를 분석해 보았으며 이를 토대로 다양한 운영층 프로세스 에이전트 유형과 특성을 정의하였다. 또한, 다수의 에이전트로 구성된 프로세스 에이전트팀 조직과 활동 원칙도 제시하였다. 에이전트의 구현을 위해 멀티쓰레딩 기법을 사용하였다. 단순한 데이터 처리를 담당하는 운영층 프로세스 에이전트에 대한 연구는 향후 보다 복잡한 지능을 가진 전략층 프로세스 에이전트에 대한 연구로 발전할 것이다.

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Development of Human Sensibility Based Web Agent for On-line Recommendation Service (온라인 추천 서비스를 위한 감성 기반 웹 에이전트 개발)

  • Im, Chi-Hwan;Jeong, Gyu-Ung
    • Journal of the Ergonomics Society of Korea
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    • v.23 no.3
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    • pp.1-12
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    • 2004
  • In recent years, with the advent of e-Commerce the need for personalized services and one-to-one marketing has been emphasized. To be successful in increasingly competitive Internet marketplace, it is essential to capture customer loyalty. In this paper, we provide an intelligent agent approach to incorporate human sensibility into an one-to-one recommendation service in cyber shopping mall. Our system exploits human sensibility ergonomics and on-line preference matching technologies to tailor to the customer the suggestion of goods and the description of store catalog. Customizing the system`s behavior requires the parallel execution of several tasks during the interaction (e. g., identifying the customer`s emotional preference and dynamically generating the pages of the store catalog). The recommendation agent system composed of five modules including specialized agents carries on these tasks. By presenting goods that are consistent with user interests as well as user sensibility, the accuracy and satisfaction of the recommendation service may be improved.

A Multi-Agent Approach to Context-Aware Optimization for Personalized Mobile Web Service (상황인지 기반 최적화가 가능한 개인화된 모바일 웹서비스 구축을 위한 다중에이전트 접근법에 관한 연구)

  • Kwon Oh-byung;Lee Ju-chul
    • Korean Management Science Review
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    • v.21 no.3
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    • pp.23-38
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    • 2004
  • Recently the usage of mobile devices which enable the accessibility to Internet has been dramatically increased. Most of the mobile services, however, so far tend to be simple such as infotainment service. In order to fully taking advantage of wireless network and corresponding technology, personalized web service based on user's context could be needed. Meanwhile, optimization techniques have been vitally incorporated for optimizing the development and administration of electronic commerce. However, applying context-aware optimization mechanism to personalized mobile services is still very few. Hence, the purpose of this paper is to propose a methodology to incorporate optimization techniques into personalization services. Multi agent-based web service approach is considered to realize the methodology. To show the feasibility of the methodology proposed in this paper, a prototype system, CAMA-myOPt(Context-Aware Multi-Agent system for my Optimization), was implemented and adopted in mobile comparative shopping.

Development of Intelligent Internet Shopping Mall Supporting Tool Based on Software Agents and Knowledge Discovery Technology (소프트웨어 에이전트 및 지식탐사기술 기반 지능형 인터넷 쇼핑몰 지원도구의 개발)

  • 김재경;김우주;조윤호;김제란
    • Journal of Intelligence and Information Systems
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    • v.7 no.2
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    • pp.153-177
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    • 2001
  • Nowadays, product recommendation is one of the important issues regarding both CRM and Internet shopping mall. Generally, a recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly and thereby automatic recommendation methodologies have got great attentions. But the researches and commercial tools for product recommendation so far, still have many aspects that merit further considerations. To supplement those aspects, we devise a recommendation methodology by which we can get further recommendation effectiveness when applied to Internet shopping mall. The suggested methodology is based on web log information, product taxonomy, association rule mining, and decision tree learning. To implement this we also design and intelligent Internet shopping mall support system based on agent technology and develop it as a prototype system. We applied this methodology and the prototype system to a leading Korean Internet shopping mall and provide some experimental results. Through the experiment, we found that the suggested methodology can perform recommendation tasks both effectively and efficiently in real world problems. Its systematic validity issues are also discussed.

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Surrogate Internet Shopping Malls: The Effects of Consumers' Perceived Risk and Product Evaluations on Country-of-Buying-Origin Image (망상대구점(网上代购店): 소비자감지풍험화산품평개대원산국형상적영향(消费者感知风险和产品评价对原产国形象的影响))

  • Lee, Hyun-Joung;Shin, So-Hyoun;Kim, Sang-Uk
    • Journal of Global Scholars of Marketing Science
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    • v.20 no.2
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    • pp.208-218
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    • 2010
  • Internet has grown fast and become one of the most important retail channels now. Various types of Internet retailers, hereafter etailers, have been introduced so far and as one type of Internet shopping mall, 'surrogate Internet shopping mall' has been prosperous and attracting consumers in the domestic market. Surrogate Internet shopping mall is a unique type of etailer that globally purchases well-known brand goods that are not imported in the market, completes delivery in the favor of individual buyers, and collects fees for these specific services. The consumers, who are usually interested in purchasing high-end and unique but not eligible brands, have difficulties to purchase these items overseas directly from the retailers or brands in other countries due to worries of payment failure and no address available for their usually domestic only delivery. In Korea, both numbers of surrogate Internet shopping malls and the magnitude of sales have been growing rapidly up to more than 430 active malls and 500 billion Korean won in 2008 since the population of consumers who want this agent shopping service is also expending. This etail business concept is originated from 'surrogate-mediated purchase' and this type of shopping agent has existed in many different forms and also in wide ranges of context level for quite a long time. As marketers face their individual buyers' representatives instead of a direct contact with them in many occasions, the impact of surrogate shoppers on consumer's decision making has been enormously important and many scholars have explored various range of agent's impact on consumer's purchase decisions in marketing and psychology field. However, not much rigorous research in the Internet commerce has been conveyed yet. Moreover, since as one of the shopping agent surrogate Internet shopping malls specifically connect overseas brands or retailers to domestic consumers, one specific character of the mall's, image of surrogate buying country, where surrogate purchases are conducted in, may play an important role to form consumers' attitude and purchase intention toward products. Furthermore it also possibly affects various dimensions of perceived risk in consumer's information processing. However, though tremendous researches have been carried exploring the effects of diverse dimensions of country of origin, related studies in Internet context has been rarely executed. There have been some studies that prove the positive impact of country of origin on consumer's evaluations as one of information clues in product manufacture descriptions, yet studies detecting the relationship between country image of surrogate buying origin and product evaluations rarely undertaken regarding this specific mall type. Thus, the authors have found it well-worth investigating in this specific retail channel and explored systematic relationships among focal constructs and elaborated their different paths. The authors have proven that country image of surrogate buying origin in the mall, where surrogate malls purchase products in and brings them from for buyers, not only has a positive effect on consumers' product evaluations including attitude and purchase intention but also has a negative effect on all three dimensions of perceived risk: product-related risk, shipping-related risk, and post-purchase risk. Specifically among all the perceived risk, product-related risk which is arisen from high uncertainty of product performance is most affected (${\beta}$= -.30) by negative country image of surrogate buying origin, and also shipping-related risk (${\beta}$= -.18) and post-purchase risk (${\beta}$= -.15) get influenced in order. Its direct effects on product attitude (${\beta}$= .10) and purchase intention (${\beta}$= .14) are also secured. Each of perceived risk dimension is proven to have a negative effect on purchase intention through product attitude as a mediator (${\beta}$= -.57: product-related risk ${\rightarrow}$ product attitude; ${\beta}$= -.24: shipping-related risk ${\rightarrow}$ product attitude; ${\beta}$= -.44: post-purchase risk ${\rightarrow}$ product attitude) as well. From the additional analysis, the paths of consumers' information processing are shown to be different based on their levels of product knowledge. While novice consumers with low level of knowledge consider only perceived risk important, expert consumers with high level of knowledge take both the country image, where surrogate services are conducted in, and perceived risk seriously to build their attitudes and formulate decisions toward products more delicately and systematically, which is in line with previous studies. This study suggests several pieces of academic and practical advice. Precisely, country image of surrogate buying origin does affect on consumer's risk perceptions and behavioral consequences. Therefore a careful selection of surrogate buying origin is recommended. Furthermore, reducing consumers' risk level is required to blossom this new type of retail business whether its consumer are novices or experts. Additionally, since consumer take different paths of elaborating information based on their knowledge levels, sophisticated marketing approaches to each group of consumers are required. For novice buyers strong devices for risk mitigation are needed to induce them to form better attitudes and for experts selections of better and advanced countries as surrogate buying origins are advised while endorsement strategy for the site might work as a reliable information clue to all consumers to mitigate the barriers to purchase goods online. The authors have also explained that the study suffers from some limitations, including generalizability. In future studies, tests of and comparisons among different types of etailers with relevant constructs are recommended to broaden the findings.

eCRM Agent System for Articles Automatic Classification System based on Naive Bayesian Classifier (나이브 베이지안 분류기를 이용한 게시물 자동 분류를 위한 eCRM 에이전트 시스템)

  • Choi, Jung-Min;Lee, Byoung-Soo
    • Journal of IKEEE
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    • v.8 no.2 s.15
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    • pp.216-223
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    • 2004
  • The customer's bulletin board is the important channel to get opinions from customers directly. The effective management of the bulletin board for the customer improves the reliance by providing the best replies and by accepting opinions of the customer and furthermore, that can raise the customer's reliance of the whole shopping mall is the important eCRM method. But, the present mostly customer's bulletin board is been replied without any classifying about many kinds of question. Consequently, The shopping mall should do systematic management of the best professional reply about many kinds of question. In order to resolve this problem, we implement a classifier called Naive Bayesian classifier is classified automatically bulletin board for eCRM of shopping mall.

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