Resolving the 'Gray sheep' Problem Using Social Network Analysis (SNA) in Collaborative Filtering (CF) Recommender Systems (소셜 네트워크 분석 기법을 활용한 협업필터링의 특이취향 사용자(Gray Sheep) 문제 해결)
- Kim, Minsung;Im, Il
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- Journal of Intelligence and Information Systems
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- v.20 no.2
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- pp.137-148
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- 2014
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Recommender system has become one of the most important technologies in e-commerce in these days. The ultimate reason to shop online, for many consumers, is to reduce the efforts for information search and purchase. Recommender system is a key technology to serve these needs. Many of the past studies about recommender systems have been devoted to developing and improving recommendation algorithms and collaborative filtering (CF) is known to be the most successful one. Despite its success, however, CF has several shortcomings such as cold-start, sparsity, gray sheep problems. In order to be able to generate recommendations, ordinary CF algorithms require evaluations or preference information directly from users. For new users who do not have any evaluations or preference information, therefore, CF cannot come up with recommendations (Cold-star problem). As the numbers of products and customers increase, the scale of the data increases exponentially and most of the data cells are empty. This sparse dataset makes computation for recommendation extremely hard (Sparsity problem). Since CF is based on the assumption that there are groups of users sharing common preferences or tastes, CF becomes inaccurate if there are many users with rare and unique tastes (Gray sheep problem). This study proposes a new algorithm that utilizes Social Network Analysis (SNA) techniques to resolve the gray sheep problem. We utilize 'degree centrality' in SNA to identify users with unique preferences (gray sheep). Degree centrality in SNA refers to the number of direct links to and from a node. In a network of users who are connected through common preferences or tastes, those with unique tastes have fewer links to other users (nodes) and they are isolated from other users. Therefore, gray sheep can be identified by calculating degree centrality of each node. We divide the dataset into two, gray sheep and others, based on the degree centrality of the users. Then, different similarity measures and recommendation methods are applied to these two datasets. More detail algorithm is as follows: Step 1: Convert the initial data which is a two-mode network (user to item) into an one-mode network (user to user). Step 2: Calculate degree centrality of each node and separate those nodes having degree centrality values lower than the pre-set threshold. The threshold value is determined by simulations such that the accuracy of CF for the remaining dataset is maximized. Step 3: Ordinary CF algorithm is applied to the remaining dataset. Step 4: Since the separated dataset consist of users with unique tastes, an ordinary CF algorithm cannot generate recommendations for them. A 'popular item' method is used to generate recommendations for these users. The F measures of the two datasets are weighted by the numbers of nodes and summed to be used as the final performance metric. In order to test performance improvement by this new algorithm, an empirical study was conducted using a publically available dataset - the MovieLens data by GroupLens research team. We used 100,000 evaluations by 943 users on 1,682 movies. The proposed algorithm was compared with an ordinary CF algorithm utilizing 'Best-N-neighbors' and 'Cosine' similarity method. The empirical results show that F measure was improved about 11% on average when the proposed algorithm was used
. Past studies to improve CF performance typically used additional information other than users' evaluations such as demographic data. Some studies applied SNA techniques as a new similarity metric. This study is novel in that it used SNA to separate dataset. This study shows that performance of CF can be improved, without any additional information, when SNA techniques are used as proposed. This study has several theoretical and practical implications. This study empirically shows that the characteristics of dataset can affect the performance of CF recommender systems. This helps researchers understand factors affecting performance of CF. This study also opens a door for future studies in the area of applying SNA to CF to analyze characteristics of dataset. In practice, this study provides guidelines to improve performance of CF recommender systems with a simple modification.
Exploring Mask Appeal: Vertical vs. Horizontal Fold Flat Masks Using Eye-Tracking (마스크 매력 탐구: 아이트래킹을 활용한 수직 접이형 대 수평 접이형 마스크 비교 분석)
- Junsik Lee;Nan-Hee Jeong;Ji-Chan Yun;Do-Hyung Park;Se-Bum Park
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- Journal of Intelligence and Information Systems
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- v.29 no.4
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- pp.271-286
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- 2023
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The global COVID-19 pandemic has transformed face masks from situational accessories to indispensable items in daily life, prompting a shift in public perception and behavior. While the relaxation of mandatory mask-wearing regulations is underway, a significant number of individuals continue to embrace face masks, turning them into a form of personal expression and identity. This phenomenon has given rise to the Fashion Mask industry, characterized by unique designs and colors, experiencing rapid growth in the market. However, existing research on masks is predominantly focused on their efficacy in preventing infection or exploring attitudes during the pandemic, leaving a gap in understanding consumer preferences for mask design. We address this gap by investigating consumer perceptions and preferences for two prevalent mask designs-horizontal fold flat masks and vertical fold flat masks. Through a comprehensive approach involving surveys and eye-tracking experiments, we aim to unravel the subtle differences in how consumers perceive these designs. Our research questions focus on determining which design is more appealing and exploring the reasons behind any observed differences. The study's findings reveal a clear preference for vertical fold flat masks, which are not only preferred but also perceived as unique, sophisticated, three-dimensional, and lively. The eye-tracking analysis provides insights into the visual attention patterns associated with mask designs, highlighting the pivotal role of the fold line in influencing these patterns. This research contributes to the evolving understanding of masks as a fashion statement and provides valuable insights for manufacturers and marketers in the Fashion Mask industry. The results have implications beyond the pandemic, emphasizing the importance of design elements in sustaining consumer interest in face masks.
Study on Utilization and Perception of Jochung (조청의 이용실태 및 선호도 연구)
- Choi, Jeong Hee;Park, Geum Soon
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- Journal of the East Asian Society of Dietary Life
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- v.25 no.6
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- pp.979-989
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- 2015
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The purpose of this study was to investigate the usage and perception jochung Self-administered questionnaires were collected from 445 living residents in the Daegu and Gyeongbuk areas. When purchasing jochung, respondents answered that they considered both health and taste. Recognition rate scores for jochung were in the order of 'brown rice', 'balloon flower', 'plum', and 'corn'. On the other hand, recognition rate scores for 'purple radish', 'sword bean', and 'sasa quelpaertensis' were very low. Preference and intake levels of jochung were in the order of 'plum', 'corn', 'sorghum', 'strawberry' and 'balloon flower'. On the other hand, preferences for 'purple radish', 'sword bean', and 'Hovenia dulcis' were very low. Reasons for eating jochung as a sweetener were identified as due to 'family, friend, or neighbor' (40.1%) and 'for health' (39.2%), and 54.6% ate it once or twice per week. Consumers showed low preference for different jochung used as sweeteners, and did not exactly recognize the characteristics of various jochung. Furthermore, 70.8% replied "increasing" prospects for jochung consumption. To increase consumption of jochung, there is a need for greater hygiene and safety with regards to jochung products as well as variations and improvements in quality.
The Effect of Attribute Alignability and Certainty on Consumer Preference (제품속성의 정렬 가능성과 확실성이 제품 선호도에 미치는 영향)
- Kim, Soo-Young;Song, Ju-Hun;Sohn, Young-Woo
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- Science of Emotion and Sensibility
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- v.11 no.2
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- pp.153-172
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- 2008
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Products can maintain a high level of market share for many years by succeeding early in the development of a market. To overcome the benefit of pioneering a market, late entrants to the market can use differentiation strategies: developing novel attributes or enhancing preexisted attributes. In general, preexisted attributes are more memorable, but novel attributes can be weighted as heavily as preexisted attributes by contextual constraints. Based on the research of appraisal-congruent judgement, certainty appraisal dimension may affect the degree to which people engage in systematic or heuristic processing. This study examines the effects of alignability (the ease with which the attributes of one object can be aligned or mapped onto another object) of product attributes and certainty on consumer preferences for late entrants. Participants were induced to experience certainty and then completed a questionnaire. As predicted, participants induced certainty were likely to engage in heuristic processing, while participants induced uncertainty were likely to engage in systematic processing. This study provides an implication that companies should additionally consider consumers' feeling of certainty when launching a new brand.
Selected Physicochemical and Consumer Preference Characteristics of Noodles Incorporated with Sweet Pumpkin Powder (단호박 분말을 첨가한 국수의 품질 특성)
- Park, Ju Hwan;Choi, Ji Eun;Lee, Jun Ho
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- Journal of the Korean Society of Food Science and Nutrition
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- v.44 no.2
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- pp.291-295
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- 2015
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Sweet pumpkin is a squash fruit that contains low total solids but is rich in carotene, pectin, mineral salts, vitamins, and other substances beneficial to health. An attempt was made to develop a value-added food product; sweet pumpkin powders (SPP) were incorporated into a model system of noodles as a healthy food ingredient, and selected physicochemical properties and consumer preferences were determined. Elevated SPP concentration was associated with increased pH, soluble solids, and turbidity; however, moisture absorption decreased (P<0.05). Increasing amounts of SPP significantly reduced both raw and cooked noodle brightness (L*); however, yellowness (b*) appeared to increase. In addition, 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity increased significantly (P<0.05). The consumer acceptance test indicated that incorporation of 10% SPP to the formulation is recommended to take advantage of the health benefits of SPP without major sacrificing the quality acceptance of consumers.
Implications to Consumer Preferences on Visual Image Elements of Coffee Houses (커피전문점의 시각이미지요소가 소비자 선호도에 미치는 영향)
- Lee, Sun Hee;Woo, Nariyah
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- Asia-Pacific Journal of Business Venturing and Entrepreneurship
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- v.10 no.3
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- pp.147-159
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- 2015
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One of the most important factors for the consumers to select a coffee shop is a visual factor. The analysis results of interior pale face image of the coffee house doesn't show significant differences on all the categories. It is recognized that the items affected by symbolized color are supplies and interior design. If a respondent choose a coffee house by the symbolized color, 'Starbucks' is the most memorable or want to visit place, and only one category, pocket money shows significant difference in choosing coffee houses. The investigation results say that the most memorable or want to visit coffee house by the visual icon color are 'Starbucks', 'Angelinus' and 'Caffebene', and that 'Ediya's icon color marks the characteristics of the shop very well, and 'Hollys' has the most characterful color. Resultingly, visual elements and icon colors of the shop seriously affect consumer's choice in visiting a coffee house. This study is to understand the influence of visual elements in choosing a coffee house for general customers, and it is considered that the importance of visual elements and color marketing must be recognized and developed.
The Development of Design Knowledge Management System Using Data Mining (Data Mining 기법을 활용한 디자인 지식경영 시스템 구축)
- 양종열;오민권;최경은
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- Archives of design research
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- v.16 no.2
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- pp.281-290
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- 2003
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In the knowledge and information-based age of today, it would be fair to say that the compatibility of each person, enterprise, and nation can be evaluated by how each of them manages and maintains the knowledge created from data and information. Since the importance and necessity of knowledge management has been acknowledged, there have been studies to create, apply, and evaluate the knowledge concerning design. Previous studies done on this subject can be divided into three main categories - CRM, online statistical research, and eCRM - according to the materials used to create knowledge. These studies are meaningful in that they can create knowledge in their respective fields, although they are somewhat inadequate because the designers can't create as much knowledge as can be applied in business; design-related consumers demand composite knowledge integrating the characteristics of all three fields. In other words, they want to know the ordinary customers'preferences in the previous off-line market in the CRM field, the research results of statistical questionnaires to the various elements of design in statistical research fields, and even the pattern of preference and consumption of many and unspecified persons transcending the time and place in eCRU field. This study proposes to solve the problem related with web-based design knowledge maintenance through the synthetic application of CRM, Statistical Research, and eCRM The information proposed in the solution can De expected to help designers working at design-related enterprises, as well as research institutes, to develop the knowledge necessary to design more consumer-oriented products.
Ethnocentrism and Taiwanese Consumer's Preference and Consumption Behaviors on Dried Persimmon (자민족중심주의에 따른 대만소비자의 곶감선호도와 소비행태 분석)
- You, So-Ye;Park, Myung-Eun;Park, Jaehong
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- Journal of the Korea Academia-Industrial cooperation Society
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- v.18 no.11
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- pp.252-262
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- 2017
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In recent years, there has been a growing need for measuring consumer demand in overseas markets in order to increase the sales of Korean dried persimmons. The country of origin of products is associated with consumer ethnocentrism and has become one of the important factors for explaining consumer demand in overseas markets. The purpose of this study was to analyze the Taiwanese consumers' preferences and consumption behaviors concerning dried persimmon based on ethnocentrism. Results found no significant differences in the consumer awareness of imported dried persimmons according to the level of ethnocentrism. The perception and preference of Korean dried persimmons were statistically significant in terms of satisfaction, taste, color, safety, packaging, and hardness by level of ethnocentrism. The factors affecting Taiwanese consumer's preference of Korean dried persimmon were found to be the satisfaction of Korean dried persimmon. Age was the most influential factor in the purchase experience of Korean dried persimmon. This implies that it would be necessary to increase consumer awareness of Korean dried persimmons by targeting the segmented market and promoting marketing strategy in the Taiwan market for securing sales channels and generating profit.
A Study on the Visual Characteristics of Korean Pharmaceutical Companies' CI Symbol Marks (국내 제약회사 심벌마크의 시각적 특징 연구)
- Hong, Il-Yang
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- The Journal of the Korea Contents Association
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- v.16 no.9
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- pp.443-450
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- 2016
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Korean biopharmaceutical industry is a high value-added industries of the country as a key business strategy of the country. The overseas market is accelerating rapidly due to drug demand according to population aging, new drug R&D investment performance visualization, changes in biopharmaceutical R&D center, strategic foreign technology exports, and the active support of government. Therefore, the domestic pharmaceutical companies also should enhance the competitiveness as global pharmaceutical companies and need to build the image of their own company that can be trusted by consumers. This study compared and analyzed visual characteristics shown in the CI symbol mark and age-specific preferences of domestic pharmaceutical companies recognizing the importance of CI as a marketing tool. As a result, preference for the symbol mark had been shown to be significantly higher preference of the old logotype as the age group is higher being proportional to awareness. In addition, the picture-type symbol mark was totally preferred rather than the word mark. Among the picture-type symbol mark, the form of the nature was strongly preferred rather than abstract form. The company also requires a sense of responsibility for recognizing changes in the mass to the globalization. It is hoped that this study will help to develop symbol mark direction as the basis for the identity strategies to improve the image of domestic pharmaceutical companies with global competitiveness.
A Study on Present Status of Preferences in the Choice of Patterns in Clothing (의복문양(衣服紋樣)의 기호도에 관한 실태(實態) 연구(硏究) - 한복(韓服)을 중심(中心)으로 -)
- Kim, Eun-Ju
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- Journal of the Korean Society of Costume
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- v.6
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- pp.65-87
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- 1982
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1. Purpose: The purpose is to apply and adapt ancient textile pattern to practical life, and to contribute to the promotion of the creative development of modernization and Koreanization of textile pattern by the survey of the extent of taste for the textile pattern existent in Korean costume among costumes. 2. Hypothesis: Textile pattern is in most classical one expressed in fact, but nowadays abstract or geometric one is more exist. Consumers are in most part in forties, and so the taste cannot be ignored. Therefore aesthetic consciousness found Korean costume is more important rather than excessively bold or mordern one. 3. Method and Process: (1) This research is analysed 386 one through college student and parents of a primary or high school. (2) Taste of the pattern is comparisoned and analyzed as age. education, pocket money of the student or an income of a month in home through computer. And the analysis of the statistics research is operation through the Chi-Square Goodness of-Fit-Test. 4. Conclusion: (1) The Korean costume put on mostly party or formal dress, therefore it should be researched as an outdoor dress with traditional costume. (2) The most one is concerned in textile pattern, it's taste is different from color, constitution. Textile industry is developed not only weave pattern, gold-coverning pattern but embroidry pattern, dye pattern, therefore the various side of pattern design should be researched. (3) In Side of form, plant pattern is not only most various but highest in popularity. According to approach nowadays, all of the pattern becomes composition or geometric one with abstract tendency and so from these day pattern is necessary combinationed, researched with our people emotion. (4) The color of textile pattern is choiced individual taste. Through investige, research in various side of the modern taste and our costume, we take growing interest in the color, composition of textile, and should dressed with beauty and grace. (5) In side of size, textile pattern is choiced to individual face and body shape through research on form, color, size of these pattern, we should endeavor to dress well. (6) In side of application, most people is concerned in not only interior ornament but the costume is high. Costume research by some people of the outside and symbol with interior through the pattern analysis is not only very important but also is due to people culture.
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