• Title/Summary/Keyword: Internet purchase

Search Result 830, Processing Time 0.02 seconds

A Study on the Privacy Policy of Behavioral Advertising (행태 광고의 개인정보 조치사항에 관한 연구)

  • Kong, Hee-Kyung;Jun, Hyo-Jung;Yoon, Seokung
    • Journal of the Korea Convergence Society
    • /
    • v.9 no.3
    • /
    • pp.231-240
    • /
    • 2018
  • Recently, personal information processing are becoming more important in the behavioral advertising based on online and mobile platform. The behavioral advertising analyzes and utilizes individual's search & purchase history, hobbies, and tendency based on the personal behavior information collected using the automatic collection device. Therefore, it collects and stores other types of personal information which did't defined in Privacy Act and can analyze personal behavior. This characteristics may cause disclosure of personal information and exposure to intrusion. In this paper, we investigate and analyze the privacy policy of the advertising agencies, and discussded the measures to be taken in collecting, storing and using personal information suitable for behavior information.

A Personalized Recommendation Methodology based on Collaborative Filtering (협업 필터링 기법을 활용한 개인화된 상품 추천 방법론 개발에 관한 연구)

  • Kim, Jae-Kyeong;Suh, Ji-Hae;Ahn, Do-Hyun;Cho, Yoon-Ho
    • Journal of Intelligence and Information Systems
    • /
    • v.8 no.2
    • /
    • pp.139-157
    • /
    • 2002
  • The rapid growth of e-commerce has made both companies and customers face a new situation. Whereas companies have become to be harder to survive due to more and more competitions, the opportunity for customers to choose among more and more products has increased. So, the recommender systems that recommend suitable products to the customer have an important position in E-commerce. This research introduces collaborative filtering based recommender system which helps customers find the products they would like to purchase by producing a list of top-N recommended products. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is used to select target customers, who have high possibility of purchasing recommended products. We applied the recommender system to a Korean department store. The methodology is evaluated with the analysis of a real department store case and is compared with other methodologies.

  • PDF

RFID Tag Ownership Relocation Protocol Based on Trusted Third Party (신뢰받는 제3자 기반의 RFID 태그 소유권 이전 프로토콜)

  • Kim, Young-Sik
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.40 no.3
    • /
    • pp.568-574
    • /
    • 2015
  • Recently RFID not only is widely utilized in various fields such as inventory management, merchandize logistics, etc., but also, has evolved as an important component of the Internet of Things (IoT). According to increasing the utilization field of RIFD, studies for security and privacy for RFID system have been made diverse. Among them, the ownership transfer protocols for RFID tags have also been proposed in connection with the purchase of products embedded with RFID tag. Recently, Kapoor and Piramuthu proposed a RFID ownership transfer protocol to solve the problems of security weakness of the previous RFID ownership transfer protocols. In this paper, we show that Kapoor-Piramuthu's protocol also has security problems and provide a new protocol to resolve them. Security analysis of newly proposed protocol shows the security concerns are resolved.

A Study on Management of Chemicals Susceptible to Illegally Diversion (불법전용 가능성 화학물질 관리방안 연구)

  • Kim, Sungbum;Ahn, Seungyoung;Park, Choonhwa;Chun, Kwangsoo
    • Journal of the Society of Disaster Information
    • /
    • v.9 no.2
    • /
    • pp.123-127
    • /
    • 2013
  • Chemicals only likely illegally, depending on the user's intention can be used for malicious purposes. In addition, these chemicals are chemicals, and readily available for purchase on, through a simple mixing ratio to home made bomb manufacturing can be. In this study, to illegally division the list of chemicals and the chemical when handling the regulatory status and distribution system, identify and propose effective management plan prepared. Presented by foreign chemicals management, including a list of relevant laws and illegal sales activities on the Internet the eradication measures were collected, and chemical substance management system improvement and response system (proposition) for material to be used as maintenance is expected.

A Study of Advertising Model based on Hybrid User Context in Smart Space (융합 상황정보 기반 스마트 환경에서의 광고 모델 연구)

  • Yoon, Yong-Ik;Lee, Su-Ji
    • Journal of the Korea Society of Computer and Information
    • /
    • v.17 no.2
    • /
    • pp.187-195
    • /
    • 2012
  • Smart phone allows advertisers to estimate customers behavior by selecting user context awareness information and gives users instant feed back about their behavior. Electronic equipments such as smart phone enable advertisers to advertise interesting product for each customers at the point of purchase. In this paper, we deal with the trends of Smart phone and internet based TV in the spotlight as the upcoming advertising media and propose the effective way of advertising, Smart Advertising model, which can give users advertising contents of their interesting product by collecting user context information from a variety of devices including N-screen in smart space. This model will induce modern people who live in flood of advertisements to buy products by providing interesting advertising contents.

Consumers' Responses to Information Created by Fashion YouTube Creators - Generational and Gender Differences - (정보원으로서 패션 유튜브 크리에이터에 대한 소비자 반응 - 유튜버의 성별과 연령 특성에 따른 비교 -)

  • Choi, Yeong-Hyeon;Lee, Kyu-Hye
    • Fashion & Textile Research Journal
    • /
    • v.23 no.2
    • /
    • pp.212-225
    • /
    • 2021
  • With the recognition of YouTube as an information search tool, YouTube creators have subsequently become sources of information to consumers. Accordingly, this study aims to analyze the consumers' response of famous fashion YouTubers in Korea, and to identify differences in consumer response based on the gender and generation of YouTubers. During the period from the opening of fashion creators' YouTube channels, we collected postings on blogs and Internet cafes using textom. As a result of preliminary investigation, six fashion YouTubers were selected. First, all the selected fashion YouTubers were well recognized by consumers as fashion informants. However, Milanonna has been shown to act as a life advisor and as an informant for luxury brands at the same time. Second, female fashion YouTubers were perceived with themes related to daily life, beauty, emotions, and mood rather than fashion itself; whereas, male fashion YouTubers appeared to be more interested in fashion accessories, especially with respect to the basic style. Third, Generation Z fashion YouTubers used the most non-fashion keywords, and their Millennial counterparts used keywords related to fashion items and product purchase properties. However, consumer response to OPAL fashion YouTubers have emerged with items such as life experiences, wisdom, and advice. Moreover, OPAL fashion YouTubers showed a variety of consumer assessments and the YouTuber's personal background. This study's analysis of the differences in the consumer response to fashion YouTubers based on gender and age enables the establishment of an appropriate strategy to attract target consumers and identify their appeal points.

Proposal of an Internet Service Providing Information for Consumers to Find the Best Way to Purchase Bottled Water (생수 구매자를 위한 최적의 정보제공 인터넷 서비스 제안)

  • Minyoung Kim;Junho Ryu;Bomin Kim;Hyeonjin Jeong;Jongwook Jang
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.3
    • /
    • pp.851-859
    • /
    • 2023
  • This paper proposes a web service that provides consumers with necessary information to make rational purchases of bottled water. The web service or dedicated mobile application introduced in this paper offers brand-specific manufacturer information and bottled water brand information produced by manufacturers. In addition, detailed information about the manufacturer such as location, environmental quality grade of the Ministry of Environment, and brand/capacity-specific prices are provided to consumers who use the proposed service in this paper. By utilizing the proposed service in this paper, users can receive guidance on how to make rational purchases of the bottled water they need, enabling them to consume economically and healthily.

A Smart Mobile Mail System Based on MPEG21-DIDL for Any Mobile Device (모든 모바일 단말기에 서비스 가능한 MPEG21-DIDL 기반의 스마트 모바일 메일 시스템)

  • Zhao, Mei-Hua;Seo, Chang-Wo;Lim, Young-Hwan
    • Journal of Internet Computing and Services
    • /
    • v.11 no.3
    • /
    • pp.1-13
    • /
    • 2010
  • As the computing power of the mobile devices is improving rapidly, many kinds of web services are also available in mobile devices just as Email service. Mobile Mail Service began early, but this service is mostly limited in some specified mobile devices such as Smart Phone. That is a limitation that users have to purchase specified phone to be benefited from Mobile Mail Service. In this thesis, it developed new kind of Mobile Mail System named Smart Mobile Mail System based MPEG21-DIDL Markup, and solved above problem. DIDL could be converted to other Markup types which are displayed in mobile devices by Mobile Gate Server. By transforming PC Web Mail contents including attachment document to DIDL Markup through Mobile Gate Server, the Mobile Mail Service could be available for all kinds of mobile device. The Smart Mobile Mail System also performs real time alarming service for new Email using Callback URL SMS. When there is new Email arriving, the Mail System sends a Call back URL SMS to user. User could directly check Email through Callback URL SMS in real time.

An Emotion Scanning System on Text Documents (텍스트 문서 기반의 감성 인식 시스템)

  • Kim, Myung-Kyu;Kim, Jung-Ho;Cha, Myung-Hoon;Chae, Soo-Hoan
    • Science of Emotion and Sensibility
    • /
    • v.12 no.4
    • /
    • pp.433-442
    • /
    • 2009
  • People are tending to buy products through the Internet rather than purchasing them from the store. Some of the consumers give their feedback on line such as reviews, replies, comments, and blogs after they purchased the products. People are also likely to get some information through the Internet. Therefore, companies and public institutes have been facing this situation where they need to collect and analyze reviews or public opinions for them because many consumers are interested in other's opinions when they are about to make a purchase. However, most of the people's reviews on web site are too numerous, short and redundant. Under these circumstances, the emotion scanning system of text documents on the web is rising to the surface. Extracting writer's opinions or subjective ideas from text exists labeled words like GI(General Inquirer) and LKB(Lexical Knowledge base of near synonym difference) in English, however Korean language is not provided yet. In this paper, we labeled positive, negative, and neutral attribute at 4 POS(part of speech) which are noun, adjective, verb, and adverb in Korean dictionary. We extract construction patterns of emotional words and relationships among words in sentences from a large training set, and learned them. Based on this knowledge, comments and reviews regarding products are classified into two classes polarities with positive and negative using SO-PMI, which found the optimal condition from a combination of 4 POS. Lastly, in the design of the system, a flexible user interface is designed to add or edit the emotional words, the construction patterns related to emotions, and relationships among the words.

  • PDF

A Knowledge-assisted Hybrid System for effectively Supporting Personalization of a Web Customer (웹 고객의 개인화를 지원하는 지식기반 통합시스템)

  • Kim, Chul-Soo
    • The KIPS Transactions:PartB
    • /
    • v.9B no.1
    • /
    • pp.1-6
    • /
    • 2002
  • Many customers consult the Internet before making purchase goods and using contents. The systems in the Internet could store a lot of data and classify the data into information to get relationship between a company and customers. To do that, let's consider a knowledge-assisted hybrid system that utilizes individually a customer's preference to make an optimal solution in the his/her decision making. The knowledge made by using the preference is employed to select an domain set appropriate to him/her business, and the process of selecting definitely provides the customer some benefits: elimination of discomfort from unknown information and reduction of costs and search time for forming an suitable domain set. To effectively adopt individual customer's preference and actively adapt change of business situation, this study propose an architecture of the system which includes rule presentations and an inference engine, and integrates a knowledge-based component into a quadratic programming component. In the experimental results, it is found that a knowledge-assisted hybrid system implemented by this idea is more flexible than existing systems in extension of knowledge about an customer's preference and goes beyond the traditional models.