• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.1
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• pp.82-88
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• 2017

Recently recommendation methods need personalization and diversity as well as accuracy whereas the traditional researches have been mainly focused on the accuracy of recommendation in terms of quality. The diversity of recommendation is also important to people in terms of quantity in addition to quality since people's desire for content consumption have been stronger rapidly than past. In this paper, we pay attention to similarity of data gathered simultaneously among different types of contents. With this motivation, we propose an enhanced recommendation method using correlation analysis with considering data similarity between two types of contents which are movie and music. Specifically, we regard folksonomy tags for music as correlated data of genres for movie even though they are different attributes depend on their contents. That is, we make result of new recommendation movie items through mapping music folksonomy tags to movie genres in addition to the recommendation items from the typical collaborative filtering. We evaluate effectiveness of our method by experiments with real data set. As the result of experimentation, we found that the diversity of recommendation could be extended by considering data similarity between music contents and movie contents.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.111-118
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• 2021

This paper proposes a novel method of caching contents that can be encoded into multiple quality levels in device-to-device (D2D)-assisted caching networks. Different from the existing caching schemes, the author allows caching fractions of an individual file and considers the self cache hit event, which the user can find the desired content in its device. The author analyzes the tradeoff between the quality of cached contents and the cache hit rate, and proposes the device caching method maximizing the expected quality that the user can enjoy. Depending on the parameter of the relationship between the quality and the file size, the optimal caching method can be obtained by solving the convex optimization problem and the DC programming problem. If the file size increases faster than the quality, the cached fractions of the contents continuously increase as the popularity grows. Meanwhile, if the file size increases slower than the quality, some of the high-popularity files are entirely cached but others are not cached at all.

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.406-414
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• 2004

It is being emphasized that management of core process is another crutial factor in the development of a product, besides of management of quality factors for the product itself. The study purposes to introduce process quality concept to digital contents market, and also aimes at meauring of process maturity, based on level 2 and 3 of Capability Maturity Model, for domestic companies especially devoted to digital contents area. The result shows that the maturity level of most of companies surveyed is very low and that mobile and game fields are slightly more matured than animation field. The paper also proposes some of future efforts to be made fur improving maturity level of digital contents companies.

• Journal of Life Science
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• v.12 no.3
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• pp.363-368
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• 2002

To evaluate the quality of korean traditional wine, 31 different type of wine were selected and examined for the following properties; ethanol contents, pH, acidity, total sugar contents, reducing sugar contents. In addition ATP contents of traditional wines were measured using lumitester and the result were compared with these obtained by viable cell counts. The physical and chemical properties of traditional wines are summarized as follow.; pH were in the range of 3.59~4.76, Total acidities were in the range of 4.23~16.21, Total sugar and reducing sugar contents were in the range of 0.04~1.13 g/100 mL and 0.006~0.999g/100 mL, respectively, ATP contents were in the range of 10$^1$~ 10$^{6}$ RLU(Relative light unit).

• The Journal of Society for e-Business Studies
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• v.7 no.3
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• pp.105-120
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• 2002

The importance of contents industry is growing up in various industries because of internet and digital economy. Recently, contents industry is challenging to new businesses such as total service industry with digital contents. It is important to classify digital contents to use it in contents industries and information and telecommunication service industries. Previous contents classification frameworks is based on contents quality, business model and application methods. They didn't consider business processes, interfaces of business unit and interactions in contents industries. In this paper, we present core business processes in digital contents industries, a corresponding digital contents classification, and analysis method of digital contents industry.

• International Journal of Contents
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• v.14 no.2
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• pp.16-23
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• 2018

Although there have been studies regarding the influence of customer reviews on consumer decision making at online shopping sites, research on factors affecting the perceived customer review quality for online shopping sites is limited. This study posits that sociability, which is one of the environmental factors of an online shopping site, can affect the quality of customer reviews. Sociability is a key factor in building a collaborative environment online, but studies have been limited to applying sociability to customer reviews that are the result of a collaborative environment. This study expects that sociability affects the performance of online shopping sites through the perceived information quality of customer reviews, and customers' efficacy. More specifically this study investigates the structural relationship between sociability, self-efficacy, collective efficacy, and the perceived information quality of the reviews in an online shopping context, regarding the patronage intention of customers. This study was conducted using a survey of 361 college students. The structural equation model results indicate that user perception of sociability increases self-efficacy and collective efficacy. The improved efficacy enhances the perceived information quality of reviews for online shopping sites, which increases patronage intention of customers. This study found that online shopping sites require a platform for customers to engage in social interaction to enhance their customers' loyalty and lifetime value.

• International Journal of Contents
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• v.5 no.3
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• pp.8-13
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• 2009

The recent Web service field emerges as the fastest growing IT paradigm as a result of the increasing interest in SOA (Services-Oriented Architecture) and the expansion of B2B market. With an increasing number of Web service that provide similar features, it becomes more important to provide the most appropriate service for the user's request. A service user in general requires the quality information of Web service when selecting a service among a number of similar Web services. Yet, finding a service through UDDI (Universal Description, Discovery and Integration) does not consider the non-functional aspects of users because it is only based on the functional aspects. That is, the quality, non-functional aspect will be an important factor for the mutual success of the user and provider. Using 3 factors in the Qos factors of the existing studies: the execution cost, reliability, and the quality level, the QoS of Web service is saved and the factors for the QoS are recorded in order to consider non-functional factors when selecting a Web service in this study. The Quality Broker determines the rank and shows the desired result of the service for users. The Quality Broker suggested in this thesis can be used to select a Web Service that considers the user-oriented and non-functional factors.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.489-490
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• 2014

• International Journal of Contents
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• v.16 no.4
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• pp.26-38
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• 2020

Determining the optimal levels of the technical attributes (TAs) of a product to achieve a high level of customer satisfaction is the main activity in the planning process for quality function deployment (QFD). In real applications, the number of customer requirements for developing a single product is quite large, and the number of converted TAs is also high so the size of the house of quality (HoQ) becomes huge. Furthermore, the TA levels are often discrete instead of continuous and the product market can be divided into several market segments corresponding to the number of HoQ, which also unacceptably increases the size of the QFD optimization problem and the time spent on making decisions. This paper proposed a genetic algorithm (GA) solution approach to finding the optimum set of TAs in QFD in the above situation. A numerical example is provided for illustrating the proposed approach. To assess the computational performance of the GA, tests were performed on problems of various sizes using a fractional factorial design.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.525-532
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• 2017

The purpose of this study is to investigate the effect of mobile payment service quality(system quality, service quality) on the formation of trust(cognitive trust, affective trust) and the effect of trust on satisfaction. In addition, we examined gender differences in the process of trust affecting satisfaction. The 188 sets of data collected, those were tested against the model using PLS. The results showed that system quality affected cognitive trust, service quality affected cognitive trust and affective trust, and both cognitive trust and emotional trust had an effect on satisfaction. In addition, the influence of cognitive trust on satisfaction was stronger for males, and affective trust had more influence on satisfaction for females.