• Title/Summary/Keyword: 인터넷 쇼핑몰 특성

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Image Watermarking for Copyright Protection of Images on Shopping Mall (쇼핑몰 이미지 저작권보호를 위한 영상 워터마킹)

  • Bae, Kyoung-Yul
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.147-157
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    • 2013
  • With the advent of the digital environment that can be accessed anytime, anywhere with the introduction of high-speed network, the free distribution and use of digital content were made possible. Ironically this environment is raising a variety of copyright infringement, and product images used in the online shopping mall are pirated frequently. There are many controversial issues whether shopping mall images are creative works or not. According to Supreme Court's decision in 2001, to ad pictures taken with ham products is simply a clone of the appearance of objects to deliver nothing but the decision was not only creative expression. But for the photographer's losses recognized in the advertising photo shoot takes the typical cost was estimated damages. According to Seoul District Court precedents in 2003, if there are the photographer's personality and creativity in the selection of the subject, the composition of the set, the direction and amount of light control, set the angle of the camera, shutter speed, shutter chance, other shooting methods for capturing, developing and printing process, the works should be protected by copyright law by the Court's sentence. In order to receive copyright protection of the shopping mall images by the law, it is simply not to convey the status of the product, the photographer's personality and creativity can be recognized that it requires effort. Accordingly, the cost of making the mall image increases, and the necessity for copyright protection becomes higher. The product images of the online shopping mall have a very unique configuration unlike the general pictures such as portraits and landscape photos and, therefore, the general image watermarking technique can not satisfy the requirements of the image watermarking. Because background of product images commonly used in shopping malls is white or black, or gray scale (gradient) color, it is difficult to utilize the space to embed a watermark and the area is very sensitive even a slight change. In this paper, the characteristics of images used in shopping malls are analyzed and a watermarking technology which is suitable to the shopping mall images is proposed. The proposed image watermarking technology divide a product image into smaller blocks, and the corresponding blocks are transformed by DCT (Discrete Cosine Transform), and then the watermark information was inserted into images using quantization of DCT coefficients. Because uniform treatment of the DCT coefficients for quantization cause visual blocking artifacts, the proposed algorithm used weighted mask which quantizes finely the coefficients located block boundaries and coarsely the coefficients located center area of the block. This mask improves subjective visual quality as well as the objective quality of the images. In addition, in order to improve the safety of the algorithm, the blocks which is embedded the watermark are randomly selected and the turbo code is used to reduce the BER when extracting the watermark. The PSNR(Peak Signal to Noise Ratio) of the shopping mall image watermarked by the proposed algorithm is 40.7~48.5[dB] and BER(Bit Error Rate) after JPEG with QF = 70 is 0. This means the watermarked image is high quality and the algorithm is robust to JPEG compression that is used generally at the online shopping malls. Also, for 40% change in size and 40 degrees of rotation, the BER is 0. In general, the shopping malls are used compressed images with QF which is higher than 90. Because the pirated image is used to replicate from original image, the proposed algorithm can identify the copyright infringement in the most cases. As shown the experimental results, the proposed algorithm is suitable to the shopping mall images with simple background. However, the future study should be carried out to enhance the robustness of the proposed algorithm because the robustness loss is occurred after mask process.

A study on email efficiency on recommendation system (추천시스템을 이용한 이메일 효율성 제고에 관한 연구)

  • Kim, Yon-Hyong;Lee, Seok-Won
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.6
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    • pp.1129-1143
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    • 2009
  • This paper proposes a recommendation system (Association Rule System for Targeting) which considers target which is not considered by previous Logistic Regression system, and proves that the efficiency of the recommendation system is better than that of the current and previous Apriori algorithm system. Also this study shows that the click and purchasing rate of the proposed Association Rule System for Targeting is much higher than those of current Apriori algorithm system after the purchasing campaign even though the open rate of the former is lower than that of the latter. In comparison with Logistic Regression methodology, this paper proves with experimental data that the purchasing effect of the proposed system for specific items is much higher in accuracy than that of current Apriori algorithm system even though the purchasing rate of current Apriori algorithm system is higher in whole shopping malls than that of the proposed Association Rule System for Targeting.

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A Study on the Product Searching Database Optimization Based on Association Rules (연관 규칙 기반의 상품 검색 데이터베이스 최적화 연구)

  • 황현숙;박규석
    • Journal of Korea Multimedia Society
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    • v.7 no.2
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    • pp.145-155
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    • 2004
  • It is very important for Internet searching systems to have user-friendly and rapid searching functions at the managers'point of view. The former finds optimized input parameters to support the various searching requirements of user. The latter has fast searching results which are effectively normalized to various input parameters having different attributes. In this paper we basically focus on optimized database construction not only to have searching functions with multiple attributes to support maximal various input requirements of the user but also to have more rapid searching functions. For this research, we suggest a modified association algorithm that takes into consideration to the support and confidence that is the criteria of the association mining rule in order to reflect the searching characteristics of internet shopping malls. We also propose the model management systems for rapid searching functions. The following results are from a processed simulation: the more the number of searching transactions of the users increase, the less the total relative average searching time becomes.

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Perceived Risk and Purchase Obstruction Factors When Purchasing Clothing Online (인터넷 쇼핑몰에서 구매 경험과 소비자 특성이 의류 제품 구매 시 지각하는 위험과 구매 저해에 미치는 영향)

  • Kim, Ji-Yeon;Moon, Ji-Young;Park, Jung-Kwon;Choi, Eun-Chung;Lee, Ji-Yeon
    • The Research Journal of the Costume Culture
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    • v.18 no.1
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    • pp.118-132
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    • 2010
  • The purpose of this study is to understand factors of risk perception and purchase obstruction by consumer characteristics and purchase experience of clothing in online. The collection of the research materials was progressed by online and offline. Out of 374 usable questionnaires used for examining this study, 278 questionnaires were collected from offline and 107 questionnaires were collected from online. Frequency analysis, factor analysis, reliability analysis, t-test, One-way ANOVA and multiple regression analysis using SPSS WIN 12.0 were conducted. Three factors of perceived risk were extracted: harmonic/image, quality/shopping process, payments. Based on these dimensions, ANOVA was conducted. The results indicated that the more purchasing experience people had, the less the extent of perceived risk they got, and quality/shopping process risk mostly among them. As the factors which obstruct purchasing decision, a security obstruction, a reliability obstruction, a convenient obstruction and an information insufficient obstruction are extracted. Also, the factors have got the result of same aspects as the perceived risk recognized by the Internet shopping experience. Meaningful differences between groups appear at security obstruction, reliability obstruction, and convenient obstruction. Perceived risk almost influenced on purchase obstruction when purchasing clothes in Internet shopping mall. When consumers perceiving harmony/image risk highly make decisions, they usually hesitate or abandon due to reliability obstruction, convenient obstruction. All the factors: including security obstruction, reliability obstruction, convenient obstruction and information insufficient obstruction made consumers perceiving quality/shopping process risk highly obstruct purchase decision.

A Study on Agrifood Purchase Decision-making and Online Channel Selection according to Consumer Characteristics, Perceived Risks, and Eating Lifestyles (소비자 특성, 지각된 위험, 식생활 라이프스타일에 따른 농식품 구매결정 및 온라인 구매채널 선택에 관한 연구)

  • Lee, Myoung-Kwan;Park, Sang-Hyeok;Kim, Yeon-Jong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.1
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    • pp.147-159
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    • 2021
  • After the 2020 Corona 19 pandemic, consumers' online consumption is increasing rapidly, and non-store online retail channels are showing high growth. In particular, social media is gaining its status as a social media market where direct transactions take place in the means of promoting companies' brands and products. In this study, changes in consumer behavior after the Corona 19 pandemic are different in choosing online shopping media such as existing online shopping malls and SNS markets that can be classified into open social media and closed social media when purchasing agri-food online. We tried to find out what type of product is preferred in the selection of agri-food products. For this study, demographic characteristics of consumers, perceived risk of consumers, and dietary lifestyle were set as independent variables to investigate the effect on online shopping media type and product selection. The summary of the empirical analysis results is as follows. When consumers purchase agri-food online, there are significant differences in demographic characteristics, consumer perception risks, and detailed factors of dietary lifestyle in selecting shopping channels such as online shopping malls, open social media, and closed social media. Appeared to be. The consumers who choose the open SNS market are higher in men than in women, with lower household income, and higher in consumers seeking health and taste. Consumers who choose the closed SNS market were analyzed as consumers who live in rural areas and have a high degree of risk perception for delivery. Consumers who choose existing online shopping malls have high educational background, high personal income, and high consumers seeking taste and economy. Through this study, we tried to provide practical assistance by providing a basis for judgment to farmers who have difficulty in selecting an online shopping medium suitable for their product characteristics. As a shopping channel for agri-food, social media is not a simple promotional channel, but a direct transaction. It can be differentiated from existing studies in that it is approached as a market that arises.

Ginseng Market in Vietnam (국내외 산업동향 - 베트남의 홍삼시장 현황)

  • Park, JinSeo
    • Bulletin of Food Technology
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    • v.26 no.2
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    • pp.132-138
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    • 2013
  • 베트남은 캄보디아, 태국, 버마, 말레이시아 등 주변 시장으로 쉽게 진출할 수 있는 거점지역으로서의 중요성을 가지며, 세계적인 컨설팅사인 AT Kearney사는 2009년 평가에서 5위로 전 세계 185개 국가 중에서 2020년까지 아시아의 유망시장으로 평가하고 있다. 평가는 인구, 소득, 시장잠재력, 위험, 유통침투 지수 등을 기초로 AT Kearney사가 개발한 소매유통산업개발지수(General Retail Development Index)에 따른 것으로 베트남은 2008년 1월, 2009년 5위 등 상위권을 지키고 있다. 또한 2010년 기준 8,700만명의 인구대국으로, 30대 이하 인구비중이 56%로 상대적으로 높아 소비자 인적구성 측면에서 성장가능성이 크며, GDP의 70%를 내부소비가 점유하고 있고, 소비여력이 큰 44세~55세 인구가 높은 비중이 높아 홍삼시장의 성장가능성이 크다. 홍삼제품은 도시 중심의 500개 소매점과 3,000개의 약국을 통해 유통되고 있고, 홈쇼핑과 인터넷 쇼핑몰 등 신규유통을 통해서도 유통이 활발해 지는 등 나름대로 유통체계가 구축되고 있으나, 소비자 인식부족과 물류시스템 등 유통 시스템의 미흡으로 본격적으로 성숙기 시장으로 진입하지 못하고 있다. 따라서 소비자와 유통 특성을 고려하여 시장에 진출한다면 성공적인 진입이 예상되나, 미국 등 다른 선진국들도 투자를 강화하고 있어 조만간 성숙기 시장으로 진입할 것으로 예상된다.

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Automatic Product Attribute Extraction from Reviews Using Web Search Engine (상품평 데이터와 웹 검색엔진을 이용한 상품별 평가항목 자동 추출)

  • Lee, Woo-Chul;Lee, Hyun-Ah
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.107-110
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    • 2008
  • 상품평은 인터넷 쇼핑 이용자들의 최종 구매결정에 큰 영향을 미치는 것으로 알려져 있다. 많은 쇼핑몰에서 상품평 활성화를 위해 노력하고 있지만, 상품평을 모으는 것에만 주력할 뿐 기존에 수집된 상품평을 제공하는 방법에 있어서는 원시적인 수준에 그치고 있다. 상품평을 좀 더 효율적으로 제공하려면 사용자들이 상품평에서 찾게 될 평가항목들을 미리 예측하여 그 항목에 따라 상품평을 분류/요약해서 제공하는 방법을 생각할 수 있다. 본 논문에서는 상품평과 웹 검색엔진을 이용하여 각 상품별 평가항목들을 자동으로 추출하는 방법을 제안한다. 상품평 데이터의 특성상 노이즈가 많기 때문에 먼저 데이터를 정제하고, 정제된 상품평 데이터를 형태소 분석하여 후보명사들을 선택한다. 선택된 후보명사를 웹 검색엔진에 질의하여 반환된 결과 값으로 상품 카테고리와 후보명사 간 연관도를 계산하여 평가항목을 추출한다. 실험은 5개 상품 카테고리의 170,294개 실제 상품평을 대상으로 각 카테고리별 평가항목을 추출하였다.

A Typology of Internet Shopping Mall (인터넷쇼핑몰의 분류모형 개발과 특성 분석)

  • 김창수;김효석
    • The Journal of Society for e-Business Studies
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    • v.3 no.1
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    • pp.95-115
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    • 1998
  • The growth of the internet shopping mall has led to a critical mass of consumers and firms participating in a global online marketplace. This study is devoted to providing a conceptual framework for describing and analyzing the characteristics of internet shopping mall. We proposed a model which classifies internet shopping mall into four types, including (1) general intermediary (2) general direct-sales (3) specialized intermediary (4) specialized direct-sales. Our framework facilitates greater understanding of the internet shopping mall as commercial medium and allows examination of internet shopping mall in terms of the opportunities and challenges firms facing online business.

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A model of internet customer long-term orientation: The moderating effect of relationship length (인터넷 이용고객의 장기지향성에 대한 탐색적 연구 -관계기간의 조절효과-)

  • Hwang, Hwa-Cheol;Suh, Yong-Han
    • Journal of Global Scholars of Marketing Science
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    • v.7
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    • pp.147-165
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    • 2001
  • To sustain successful relations with its customers, an internet business enterprise has to understand precisely the difference between customers' behaviour and their purchasing behaviour pattern on its customer basis. For this purpose, I closely looked into what difference there was between a leading variable which had an effect on internet customer long-term orientation and a special variable depending on period of transactions To prove this research, I analyzed collected data in which customers had experienced in shopping at internet shopping mall and discussed strategic current issues about its analytic results.

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The Effect of Purchase Reviews of Internet Shopping mall on Benefits Sought of Sales Promotion, Fashion Customer's Purchase Satisfaction, Repurchase Intention, and Word-of-Mouth Intention (인터넷 쇼핑몰의 구매후기 특성이 판매촉진 추구혜택과 구매만족도, 재구매의도 및 구전의도에 미치는 영향)

  • Lee, Su-Jin;Shin, Su-Yun
    • Fashion & Textile Research Journal
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    • v.16 no.1
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    • pp.79-90
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    • 2014
  • With the development of modern society, not only have the Internet and e-commerce been progressed but they also made 'consumption patten' diverse. Despite the internet clothing market growth, there is critical a disadvantage, which is consumers is not able to wear the products presented via online pictures. Thus, pictures on the internet are the only information customers can get, which has caused consciousness on the importance of dealing with 'customer review'. In spite of the fact that 'customer review' has undeniably evolved to be one of customers' essential requisites, the research on this subject is very limited. Until now, the studies on the internet shopping consumers' behavior mostly has to do with the features of 'customer review' such as 'a sense of exaggeration', 'usability', 'duality', 'purity', 'professionalism', 'reliability', and the 'similarity', etc.) Therefore, this study categorizes the characteristics of online shopping reviews to 'the number of reviews', 'the article-length', 'the existence of photos', 'the rewards for reviews', 'the contents of the reviews' and 'the freshness of the reviews' and reviews the impact of an features of 'customers' reviews' affecting the internet shopping sales promotion. Moreover, it is to contribute to the marketing strategies of a shopping mall by analyzing consumers' 'purchasing satisfaction', 'the intention of repurchasing', and 'the factors of viral marketing'.