• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.23-46
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• 2021

Collaborative filtering, which is often used in personalization recommendations, is recognized as a very useful technique to find similar customers and recommend products to them based on their purchase history. However, the traditional collaborative filtering technique has raised the question of having difficulty calculating the similarity for new customers or products due to the method of calculating similaritiesbased on direct connections and common features among customers. For this reason, a hybrid technique was designed to use content-based filtering techniques together. On the one hand, efforts have been made to solve these problems by applying the structural characteristics of social networks. This applies a method of indirectly calculating similarities through their similar customers placed between them. This means creating a customer's network based on purchasing data and calculating the similarity between the two based on the features of the network that indirectly connects the two customers within this network. Such similarity can be used as a measure to predict whether the target customer accepts recommendations. The centrality metrics of networks can be utilized for the calculation of these similarities. Different centrality metrics have important implications in that they may have different effects on recommended performance. In this study, furthermore, the effect of these centrality metrics on the performance of recommendation may vary depending on recommender algorithms. In addition, recommendation techniques using network analysis can be expected to contribute to increasing recommendation performance even if they apply not only to new customers or products but also to entire customers or products. By considering a customer's purchase of an item as a link generated between the customer and the item on the network, the prediction of user acceptance of recommendation is solved as a prediction of whether a new link will be created between them. As the classification models fit the purpose of solving the binary problem of whether the link is engaged or not, decision tree, k-nearest neighbors (KNN), logistic regression, artificial neural network, and support vector machine (SVM) are selected in the research. The data for performance evaluation used order data collected from an online shopping mall over four years and two months. Among them, the previous three years and eight months constitute social networks composed of and the experiment was conducted by organizing the data collected into the social network. The next four months' records were used to train and evaluate recommender models. Experiments with the centrality metrics applied to each model show that the recommendation acceptance rates of the centrality metrics are different for each algorithm at a meaningful level. In this work, we analyzed only four commonly used centrality metrics: degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. Eigenvector centrality records the lowest performance in all models except support vector machines. Closeness centrality and betweenness centrality show similar performance across all models. Degree centrality ranking moderate across overall models while betweenness centrality always ranking higher than degree centrality. Finally, closeness centrality is characterized by distinct differences in performance according to the model. It ranks first in logistic regression, artificial neural network, and decision tree withnumerically high performance. However, it only records very low rankings in support vector machine and K-neighborhood with low-performance levels. As the experiment results reveal, in a classification model, network centrality metrics over a subnetwork that connects the two nodes can effectively predict the connectivity between two nodes in a social network. Furthermore, each metric has a different performance depending on the classification model type. This result implies that choosing appropriate metrics for each algorithm can lead to achieving higher recommendation performance. In general, betweenness centrality can guarantee a high level of performance in any model. It would be possible to consider the introduction of proximity centrality to obtain higher performance for certain models.

• Korean Journal of Construction Engineering and Management
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• v.15 no.4
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• pp.58-67
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• 2014

The proportion of investment in national R&D projects in construction and transportation has been increasing continuously; in terms of the size of R&D projects, there are many medium- to large-sized projects of over KRW 10 billion. However, in spite of such continuous increase in R&D investments, there are many technologies developed but not commercialized, i.e., the quiescence of technology. Accordingly, it is necessary to link the R&D results to commercialization by expanding the scope of R&D projects. In this context, this study presented objective reference prices to be used in contracting/transacting technology and implementing commercialization strategy by conducting technology valuations against on-going research projects with earnings approach, and by estimating value of patented technology. Sum of free cash flow (business value) that can be generated during the life of the technology was estimated as KRW 512 million by reflecting a discount rate of 16.34% to convert it into the present value. In addition, the technology value was computed as KRW 227million by applying a technology factor of 44.39% to the above value. Based on the technology value estimated in this way, it is necessary to establish industrialization and commercialization strategy of the technology.

• Journal of the Korean Society of Costume
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• v.57 no.5 s.114
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• pp.123-139
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• 2007

Since the late 1980's, the number of research papers published in the Journal of the Korean Society of Costume(JKSC) has increased. The JKSC is usually known for its focus on issues relevant to the aesthetics of dress, fashion design, and the history of Western or Oriental dress. The main goal of this paper is to link the academic importance of the fashion marketing field to the expansion of the journal and society. First, we defined the scope of the fashion marketing field, based on a literature review and general practices of other competitive societies and journals. First, we reviewed the curricula of the fashion marketing field from 49 universities in Korea. Next, we examined the research topics and methodology of 271 papers in the fashion marketing field published in JKSC since its first issue in 1977. By comparing the findings from the curricula and research, we drew conclusions for the fashion marketing field of the journal and society. We found that the approximately 80% of the fashion marketing courses provided at the undergraduate level are related to merchandise planning and selling processes from the company perspective. However, in more than 85% of the research papers, consumer characteristics and decision-making processes were the main focus and were used as key variables. These findings imply that more various methodological approaches are required for the research to enrich the theoretical background which, in turn, can support curricular development in fashion marketing field. The fashion marketing field in JKSC and society should make the most of accumulated knowledge in product design, symbolic aspects of fashion, and the qualitative approach in the research topics of the JKSC and society.

• Journal of Digital Convergence
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• v.9 no.1
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• pp.125-136
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• 2011

This article is exploring the possibility of establishment of a 'Smart Citizens Party'. In the society based the social computing, the individual leads the technical progress and the society which is adapted for this circumstance is changing in the direction of user-centric. Also, in the political process, we can see this social phenomenon. In other words, there's a quite possibility that decision-making structure may shift from the top-down approach to the bottom-up approach by the networked individuals or flexible voluntary group. In this context, this paper will propose the 'Smart Citizens Party' model that accept the change of political and social environment due to the advent of the social computing and cope with this change. The 'Smart Citizens Party' means the 'Party for Smartizen' of this social computing era. The 'Smart Citizens Party' is the intermediate party that link the political party to the civil society and is smart citizen's party that is operated democratically by active participation of citizens. This paper will review on structure and operational issues of political parties in Korea and study future-oriented solution and/or way to discovered problems of political parties in Korea.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.69-74
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• 2009

A novel protocol is proposed to achieve sub-carner-based rate adaptation in OFDM-based wireless systems. The protocol requires the addition of one OFDM symbol to the Clear-to-Send (CTS) packet defined in the IEEE 802.11 standard_ When receiving a Ready-To-Send (RTS) packet, the receiver determines the number of bits to be allocated in each sub-carrier through channel estimation. This decision is delivered to the sender using an additional OFDM symbol. That is, bit-allocation over sub-carriers is achieved using only one additional OFDM symbol. The protocol also provides an error recovery process to synchronize the bit-allocation information between the sender and receiver. The protocol enhances the channel efficiency in spite of the overhead of one additional OFDM symbol.

• Journal of Technology Innovation
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• v.23 no.3
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• pp.225-253
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• 2015

The standard is a nation's one of the most important industrial issues that improve the social and economic efficiency and also the basis of the industrial development and trade liberalization. This research analyzes the enactment and the utilization of Korean industrial standards(KS) of various industries. This paper examines Korean industries' KS utilization status based on the KS possession, enactments and inquiry records. First, we implement multidimensional scaling method to visualize and group the KS possession records and the nation's institutional issues. We develop several hypothesis to find the decision factors of how each group's KS possession status impacts on the standard enactment activities of similar industry sectors, and analyzes the data by implementing regression analysis. The results show that the capital intensity, R&D activities and sales revenues affect standardization activities. It suggests that the government should encourage companies with high capital intensity, sales revenues to lead the industry's standard activities, and link the policies with the industry's standard and patent related activities from R&D. Second, we analyze the impacts of each KS data's inquiry records, the year of enactments, the form and the industrial segment on the utilization status by implementing statistical analysis and decision tree method. The results show that the enactment year has significant impact on the KS utilization status and some KSs of specific form and industrial segment have high utilization records despite of short enactment history. Our study suggests that government should make policies to utilize the low-utilized KSs and also consider the utilization of standards during the enactment processes.

• The Korean Journal of Archival Studies
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• no.11
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• pp.123-143
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• 2005

1. Introduction : From the Memorial to the Records, From the Records to the Archives 2. Archivists and Historians : the Records Keeping, Appraisal and Selection 3. Records and Historical Materials in the Historical Narrative 4. the Relation of the Facts and Theory in the History 5. Conclusion In this essay I considered the relations of records and history, namely the process on the selection and choice from the records to the archives and the historical materials and in the process the role on the archivists and historians and difference and the relation of the facts and theory in the history. Archival science posits that an archives is the whole of the documents made or received in the course of purposeful activity, and of the relationships among those documents. Archival theory posits that it is the primary function of the archivists to maintain unbroken, continuing custody of societal archives, and to protect their integrity by keeping them physically and intellectually uncorrupted. The ultimate purpose of archival endeavors is to hand down to the next generations a reliable, trustworthy, and complete testimony of societal actions so that they can constitute sources of, and foundations for, future decision making. However, historical science searches for the truth in the historical facts, explains the cause and origin of the matters and reflects on th knowledge about the why and how the events happened. And history is firmly rooted on the philosophy. The goal of historian is analysing the nature of meaning of past in the society and tracing up the change and process of the transition. Archival science means historical source studies and other related disciplines. On the other hand archival management is the principle of respect for original order and the importance of original forms and conditions. Thus the relations between archival science and archives management are not one-sided but mutual. Archival science and historical studies, archivists and historians need to link more closely in order to hand down the contemporary memorial, the common memorial of mankind to the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.2
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• pp.279-286
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• 2020

On February 4, 2020, the Personal Information Protection Act ("Privacy Act") was amended to facilitate the convergence and utilization of data, a key resource of the Fourth Industrial Revolution, and to support the development of the data industry. As the scope of the law applies to telecommunications operators, financial operators, and personal information processing providers, the scope of related dispute settlement is expected to increase. Therefore, this paper first introduces the role and function of the Personal Information Dispute Committee and the institutional standards for personal information dispute mediation, and researches the roles and issues that the Personal Information Dispute Mediation Committee should play in accordance with the revision of the Data 3 Law. In this study, For efficient operation of personal information dispute mediation, expert deliberation by field, new adjustment criteria for new industrial technologies, way to secure business continuity between the Personal Information Dispute Committee and the Personal Information Committee, Secure the link between the mediation decision and courts, and Suggested the strengthening of the operational standards for collective dispute mediation.

• Korean Journal of Construction Engineering and Management
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• v.9 no.6
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• pp.175-184
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• 2008

For deciding the profitability and feasibility of the construction project, the schematic estimation has to not only link the design decision-making but also estimate the cost with reliability. The prototype-based schematic estimation system was developed for easily linking with design-making and supports to evaluate the design alternatives in the design development stage but didn't consider the cost estimated by parameter and additional work items by users. This research presents the object-parameter based schematic estimation model in the design development stage that can lead to accurately estimate the cost by using historical data from the high-storied office buildings. For the development of the proposed model for schematic estimation, after analyzing and classifying the work items from the Bills of Quantities(BOQs) and drawings of historical data, this research proposed the methods of estimating cost in accordance with attributes of each work item. In addition, a case study is performed for the effectiveness as comparing the previous estimating method with the proposed model.

• Journal of Global Scholars of Marketing Science
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• v.16 no.2
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• pp.27-54
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• 2006

As maintaining customer long term relationship is critical factor for improving to firm value as well as customer lifetime value, the academicians and practitioners have paid attention to customer defection. It is said that service failures are key factors to customer defection or customer switching(Keaveney 1995 etc.). This study examines that the effect on customer defection of service failures is differential according to the various customer-firms relationship characteristics. We consider relationship duration, usage level, decision making influence, industry knowledge and switching cost as customer-firm relationship characteristics based on marketing literature. Predictions are developed and tested using Internet service provider(ISP) user survey data(n=212). Results show that the customer-firms relationship characteristics/above variables) play a moderating roles in the service failures and customer defection links.