• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.2
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• pp.98-104
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• 2014

Locality-sensitive hashing techniques have been developed to efficiently handle nearest neighbor searches and similar pair identification problems for large volumes of high-dimensional data. This study proposes a locality-sensitive hashing method that can be applied to nearest neighbor search problems for data sets containing both numerical and categorical attributes. The proposed method makes use of dual hashing functions, where one function is dedicated to numerical attributes and the other to categorical attributes. The method consists of creating indexing structures for each of the dual hashing functions, gathering and combining the candidates sets, and thoroughly examining them to determine the nearest ones. The proposed method is examined for a few synthetic data sets, and results show that it improves performance in cases of large amounts of data with both numerical and categorical attributes.

• Journal of the Korean Society for information Management
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• v.26 no.4
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• pp.93-112
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• 2009

Recently in the area of the information environment, there are lively discussions about search 2.0 which is representative of the next generation search services. In this study, we divide information search model into matching and linking models according the developmental stages. Therefore, on the one hand, we analyze the background, main concepts, related attributes and cases of the next generation search services and the other, we identify the representative keywords by the group analysis of various attributes and cases of it. The result shows that the main keywords such as social search, artificial intelligence and semantic search, and relation/network based search are representative of the search 2.0.

• Journal of the Korean Home Economics Association
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• v.42 no.9
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• pp.195-212
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• 2004

The purpose of this study was to analyze consumers' perceived risk and information search behaviors in internet shopping. For this purpose, survey was conducted on 302 consumers in their 20s and 30s who had internet shopping experience. This study found that consumers' perceived risk was significantly related to their gender, educational level, income, credit card use, period of internet un, number of internet shopping experiences, and purchased product. Consumers' search behaviors were also significantly affected by gender, age, educational level, income, period of internet use, and purchased product. In addition, a higher level of consumers' perceived risk was significantly related to the amount of information search on product attributes themselves rather than on general information search such as the number of sites or the number of brands.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1535-1544
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• 2018

This study surveyed purchase behavior of users who purchased goods within the last year to analyze the relationship of search intention to purchase behavior according to SNS channel attributes. Based on these findings, it is analyzed that the information provision and interrelationships in SNS channel attributes affect search intent. In order to enhance the purchase behavior through the users of NS Channel, reliability and information availability are also cited as major issues, but more importantly, SNS channel search index is more important. It is also important to increase search indexes by simply increasing the attributes of SNS channels by improving the reliability of information and information availability, and by enhancing information delivery performance and interaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.12
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• pp.1721-1732
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• 2007

This study identified types of information source, and explored a path model for consumer information search by shopping attributes in the context of online decision making. Participants completed self-administered questionnaires during regularly scheduled classes. A total of 219 usable questionnaires were obtained from respondents who enroll at universities in the southwestern region of the United States. For data analysis, factor analysis and path model estimation were used. Consumer information source was classified into three types for online clothing purchases: Online source, Offline retail source, and Mass media. Consumers were more likely to rely on offline retail source for online clothing purchases, than other sources. In consumer information search by shopping attributes, online sources were more likely to be related to transaction-related attributes(e.g., incentive service), whereas offline retail source(e.g., displays in stores, manufacturer's catalogs and pamphlets) were more likely to be related to product and market related attributes(e.g., aesthetics, price) when purchasing clothing online. Also, the path model emphasizes the effect of shopping attributes on traditional retailer search behavior, leading to online purchase intention for clothing. This study supports consumer information search by attributes, and discusses a managerial implication of multi-channel retailing for apparel.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.135-144
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• 2020

In graph theory, the least-cost path is discovered by searching the shortest path between a start node and destination node. The least cost is calculated as a one-dimensional value that represents the difference in distance or price between two nodes, and the nodes and edges that comprise the lowest sum of costs between the linked nodes is the shortest path. However, it is difficult to determine the shortest path if each node has multiple attributes because the number of cost types that can appear is equal to the number of attributes. In this paper, a shortest path search scheme is proposed that considers multiple attributes using the Euclidean distance to satisfy various user requirements. In simulation, we discovered that the shortest path calculated using one-dimensional values differs from that calculated using the Euclidean distance for two-dimensional attributes. The user's preferences are reflected in multi attributes and it was different from one-dimensional attribute. Consequently, user requirements could be satisfied simultaneously by considering multiple attributes.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.11
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• pp.1814-1824
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• 2008

The purpose of this study was to investigate the information search behavior in functional sportswear purchasing by clothing and sports concern variables. Functional sportswear means sportswear made of functional clothing materials. The information search behavior in this study included information sources, information seeking attributes, information search differences between when consumers buy functional sportswear and when they purchase nonfunctional sportswear, and information characteristics. For this purpose, 500 questionnaires had been distributed to university students and 409 of which were used in the study. For data analysis, frequency, reliability analysis, factor analysis, and t-test were used. The results were as follows: first, the friends showed to be the most effective information source of functional clothing materials sportswear and internet revealed to be the information source that made the most frequent use of. The experts appeared to be the most reliable information source. Second, the more the students were concerned about clothing and sports, the more important they considered information seeking attributes. Third, in the aspects of information search differences between when consumers bought functional sportswear and when they purchased nonfunctional sportswear, only sports concern variables showed to be significant. The last, regardless of clothing and sports concern variables, it was found that customers considered all the information characteristics important.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.3
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• pp.323-334
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• 2000

The purpose of this study was to develop service quality dimensions for fashion retail stores and to identify significant service quality dimensions influencing customers satisfaction for each fashion retail store. 687 young adults completed written questionnaires consisting of items related to service quality. For analysis of data, confirmatory factor analysis, one-way ANOVA, scheffe test, and stepwise regression analysis were applied. The results were as follows: 1. The service quality dimensions of fashion retail stores were tangibles, reliability, responsiveness, assurance, empathy, fashionability and variety, price, convenience, merchandise quality and credit card usability. Among those 10 main dimensions of service quality were grouped as experience attributes and search attributes. 2. In examination of the highest valuable service quality dimension based on the types of stores, imported fashion stores were evaluated the highest in terms of all factors except price, tangibles and credit card usability. 3. To predict consumer satisfaction, service quality dimensions such as reliability, responsiveness, assurance, empathy, fashionability/variety, price, convenience, merchandise quality and credit card usability should be considered.

• The Korean Journal of Franchise Management
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• v.13 no.3
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• pp.45-55
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• 2022

Purpose: Consumers' experience of functional attributes is remembered, and the experience lowers the cost of consumers' input from their point of view and reduces uncertainty. It also plays an important role in consumers' positive emotions and responses. Accordingly, if information search costs are reduced in terms of the costs perceived by consumers about restaurants, a strategy differentiated from other companies can be established. Therefore, this study investigated the effect of functional congruence of restaurant stores on information search cost reduction, positive/negative emotions, and loyalty. Research Design, Data, and Methodology: This study investigated functional congruence, information search cost reduction, and positive/negative emotions. The structural relationship between loyalty was analyzed. To verify this, a research hypothesis was established based on previous studies and a research model was constructed. The questionnaire items were modified and used according to the current study, based on previous studies. The data were collected using the questionnaire method from 187 people who had dining out experience. Frequency analysis was performed to confirm demographic characteristics. Reliability, convergent validity, and discriminant validity of the collected data were verified. The research model was analyzed with a structural equation modeling (SmartPLS 4). Results: The findings show that functional congruence had significant positive effects on information search cost reduction and positive emotion, but no significant effect on negative emotion. Information search cost reduction had significant positive effects on positive emotion/negative emotion but did not significantly affect loyalty. Lastly, both positive and negative emotions had significant positive effects on loyalty. Conclusion: Based on transaction cost theory, this study found how functional congruence and information search cost reduction influence consumers' emotions. The functional attributes of restaurants were perceived by customers as information, thus uncertainty was decreased. Finally, appropriate management strategies and implications of functional congruence and information search cost in the restaurant were suggested.

• Journal of Fashion Business
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• v.25 no.2
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• pp.18-33
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• 2021

This study sought to understand the clothing consumption values of male consumers and analyze the attributes of online fashion multi-brand stores. The study examined the effect of clothing consumption values of male consumers on the perceived attributes of online fashion multi-brand stores and use intention. The study also aimed to investigate whether online information search moderated the relationship between the perceived attributes of online fashion multi-brand stores and use intention. An online survey of male consumers in their 20s and 30s was conducted, and a total of 338 responses were analyzed. The SPSS 24.0 program was used to perform frequency analysis, factor analysis, reliability analysis, regression analysis, and stepwise-regression analysis. The results are as follows. First, fashionableness out of the four attributes of online fashion multi-brand stores (fashionableness, entertainment, variety, and scarcity) influenced the practical and conspicuous values of clothing consumption values. Entertainment had a significant effect on all clothing consumption values. Variety had a significant impact on practical and conspicuous values and the scarcity factor influenced epistemic and conspicuous values. Second, while entertainment, variety, and scarcity influenced sharing intention, fashion, entertainment, and variety influenced purchase intention. Third, online information search moderated the relationship between the perceived attributes of online fashion multi-brand stores and sharing intention but not purchase intention.