• Journal of Information Technology Services
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• v.22 no.1
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• pp.43-56
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• 2023

With the development of the e-commerce market, various types of products continue to be released. However, customers face an information overload problem in purchasing decision-making. Therefore, personalized recommendations have become an essential service in providing personalized products to customers. Recently, many studies on GCN-based recommender systems have been actively conducted. Such a methodology can address the limitation in disabling to effectively reflect the interaction between customer and product in the embedding process. However, previous studies mainly use implicit feedback data to conduct experiments. Although implicit feedback data improves the data scarcity problem, it cannot represent customers' preferences for specific products. Therefore, this study proposed a novel model combining explicit and implicit feedback to address such a limitation. This study treats the average ratings of customers and products as the features of customers and products and converts them into a high-dimensional feature vector. Then, this study combines ID embedding vectors and feature vectors in the embedding layer to learn the customer-product interaction effectively. To evaluate recommendation performance, this study used the MovieLens dataset to conduct various experiments. Experimental results showed the proposed model outperforms the state-of-the-art. Therefore, the proposed model in this study can provide an enhanced recommendation service for customers to address the information overload problem.

• The Journal of Bigdata
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• v.5 no.1
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• pp.29-39
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• 2020

Purpose The atmosphere of respect for individual tastes that have spread throughout society has changed the consumption trend. As a result, the travel industry is also seeing customized travel as a new trend that reflects consumers' personal tastes. In particular, there is a growing interest in 'film-induced tourism', one of the areas of travel industry. We hope to satisfy the individual's motivation for traveling while watching movies with customized travel proposals, which we expect to be a catalyst for the continued development of the 'film-induced tourism industry'. Design/methodology/approach In this study, we implemented a methodology through 'OCR' of extracting and suggesting film location information that viewers want to visit. First, we extract a scene from a movie selected by a user by using 'OpenCV', a real-time image processing library. In addition, we detected the location of characters in the scene image by using 'EAST model', a deep learning-based text area detection model. The detected images are preprocessed by using 'OpenCV built-in function' to increase recognition accuracy. Finally, after converting characters in images into recognizable text using 'Tesseract', an optical character recognition engine, the 'Google Map API' returns actual location information. Significance This research is significant in that it provides personalized tourism content using fourth industrial technology, in addition to existing film tourism. This could be used in the development of film-induced tourism packages with travel agencies in the future. It also implies the possibility of being used for inflow from abroad as well as to abroad.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1243-1246
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• 1998

Three-dimensional(3-D) sound is a technique for generating or recreating sounds so they are perceived as emanating from locations in a three-dimensional space. Three dimensional sound has the potential of increasing the feeling of realism in music or movie soundtracks. Three-dimensional sound effects depend on psychoacoustic spectral and phase cues being presented in a reproduced signal. In this paper we propose an effective algorithm for the sound image expansion in television system using stereo image enhancement techniques. Compared to the other techniques of three-dimensional sound, the proposed algorithm use only two speakers to enhance the sound image expansion, while maintaining the original sound characteristics.

• Proceedings of the KIPE Conference
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• 2004.07b
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• pp.846-850
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• 2004

The aim of this research is to bring fish-file that we have worked to place we want worked in flsh and to design Active container that removed window frame in web like general movie player. It being low price, Anyone using, we intend to design container which removed window frame by processing background of function.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.3058-3060
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• 2005

In this paper, the CMOS four-quadrant analog multipliers for low-voltage low-power applications are presented. The circuit approach is based on the characteristic of the LV (Low-Voltage) composite transistor which is one of the useful analog building blocks. SPICE simulations are carried out to examine the performances of the designed multipliers. Simulation results are obtained by $0.25{\mu}m$ CMOS parameters with 2V power supply. The LV composite transistor can easily be extended to perform a four-quadrant multiplication. The multiplier has a linear input range up to ${\pm}0.5V$ with a linearity error of less than 1%. The measured -3dB bandwidth is 290MHz and the power dissipation is $37{\mu}W$. The proposed multiplier is expected to be suitable for analog signal processing applications such as portable communication equipment, radio receivers, and hand-held movie cameras.

• Journal of the Korean Institute of Educational Facilities
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• v.5 no.3
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• pp.107-115
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• 1998

Open education is more relevant to the current educational reality which requires the liberalization, individualization and creativeness, and the effectiveness of open education will be maximized with the full utilization of instructional media. As well known, there are many different types of instructional media to promote open education such as print material, audio material, still picture, movie, computer, and multimedia. The main criteria to choose effective instructional media for open education depend upon easiness of supply and retrieval of information, and promotion of more frequent interaction among participants. In addition, utilization method, cost, curriculum contents, as well as school culture are also elements to consider in the selection of right instructional media.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.2
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• pp.29-36
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• 2004

As Lately movie industry and related market becomes larger and people have had more spare time, people's interest in multiplex grows higher, This paper studies relationships between physical service environment and customer's satisfaction in multiplex. The number of subjects in this study is 346 persons stayed at four multiplexes, among which we obtained valid responses from 326 persons through questionnaire investigation. We held hypotheses for the relationships, and for the testing, used methods are Spearman's correlation, Mann-Whitney test, etc, and for statistical analysis, SPSS 10.1 software was used. Thus, we found statistically significant results, that is, the relation between physical service environment and customer's satisfaction is positive: the higher evaluation about physical service environment is, the more customer's universal satisfaction is. Information about the significant relation's intensity of many indicators in physical service environment, which is given in this paper, can be used for attaining higher customer satisfaction and spreading more effective management activities in multiplex.

• 한국정보통신설비학회:학술대회논문집
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• 2006.08a
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• pp.82-86
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• 2006

Film has been used widely since Auguste and Louis Lumiere hold the first private screening in 1895. Star Wars Episode II: Attack of the Clones directed by George Lucas released on May 16, was the first motion picture both to be shot completely on a high definition digital 24-frame system and to be projected by digital projectors. Its success showed us that the digital cinema era is imminent. Digital Cinema will enable the studios and movie distributors to low the expenses of making and delivering film prints and dissemination of it can put the entire digital cinema ecosystem in great jeopardy. Therefore DRM and other security policies are used for digital cinema content protection. In this paper it will be discussed how the digital cinema platform can package (encooe & encrypt), transport, and project the digital cinema contents safely.

• Journal of the Korean Home Economics Association
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• v.42 no.12 s.202
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• pp.123-140
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• 2004

The purpose of this study was to explore the unfairness of adhesion contracts for internet contents service. The internet contents were classified into six types of avatar, learning, download, e-book and movie internet sites. The adhesion contracts of internet contents service were collected in 60 internet sites. The unfairness of the adhesion contract was reviewed under the adhesion contract regulation act. The major results were as follows. First, the obligation of clear statement, explanation, and delivery was not observed completely. Second, many articles of adhesion contract were unfair and they especially violated articles 7 and 9. Therefore, the standard adhesion contract system for internet content service should be enforced and self-regulation of information service providers is needed.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.336-343
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• 2017

We propose a real time personalized recommendation algorithm on the mobile device. We use a unified collaborative filtering with reduced data. We use Fuzzy C-means clustering to obtain the reduced data and Konohen SOM is applied to get initial values of the cluster centers. The proposed algorithm overcomes data sparsity since it extends data to the similar users and similar items. Also, it enables real time service on the mobile device since it reduces computing time by data clustering. Applying the suggested algorithm to the MovieLens data, we show that the suggested algorithm has reasonable performance in comparison with collaborative filtering. We developed Android-based smart-phone application, which recommends restaurants with coupons and restaurant information.