• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.95-117
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• 2022

With the emergence of various media types due to the development of Internet technology, advertisers have difficulty choosing media suitable for corporate advertising strategies. There are challenging to effectively reflect consumer contextual information when advertising media is selected based on traditional marketing strategies. Thus, a recommender system is needed to analyze consumers' past data and provide advertisers with personalized media based on the information consumers needs. Since the traditional recommender system provides recommendation services based on quantitative preference information, there is difficult to reflect various contextual information. This study proposes a methodology that uses deep learning to recommend personalized media to advertisers using consumer contextual information such as consumers' media viewing time, residence area, age, and gender. This study builds a recommender system using media & consumer research data provided by the Korea Broadcasting Advertising Promotion Corporation. Additionally, we evaluate the recommendation performance compared with several benchmark models. As a result of the experiment, we confirmed that the recommendation model reflecting the consumer's contextual information showed higher accuracy than the benchmark model. We expect to contribute to helping advertisers make effective decisions when selecting customized media based on various contextual information of consumers.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.441-444
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• 2012

본 논문에서는 디지털 사이니지와 스마트폰간의 양방향 광고 및 정보 전송이 가능한 차세대 광고 모델을 제안한다. 디지털 사이니지는 옥외라는 공간의 특성상 지나가는 사람들에게 짧은 시간 동안 주목을 유도해 광고를 노출시켜야 하고 설명형 광고 표출이 어려운 공간적인 한계를 가지고 있다. 반면 스마트폰은 사용자들과 물리적으로나 심리적 거리상으로 가장 밀접한 위치에 있고 언제 어디서나 무선인터넷과 애플리케이션을 활용할 수 있어 광고효과가 뛰어난 매체이다. 따라서 디지털 사이지니 앞을 지나가며 관심있는 정보나 광고를 스마트폰으로 전송 받고 원하는 시간과 장소에서 스마트폰으로 본다면 디지털 사이지니 광고매체의 공간적 한계를 극복하고 광고효과를 높일 수 있을 것이다. 본 논문에서는 이러한 디지털 사이니지를 활용한 개인형 모바일 광고에 대한 요구사항을 도출하였고, 향후 실제 시스템을 구축할 계획이다.

• Journal of the Korea Computer Industry Society
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• v.2 no.9
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• pp.1175-1182
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• 2001

One to one Marketing (a.k.a. database marketing or relationship marketing) is one of the many fields that will benefit from the electronic revolution and shifts in consumer sales and advertising. As a component of intelligent customer services on Internet storefront, this paper describes technology of providing personalized advertisement using the market basket analysis, a well-Known data mining technique. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customer's data. However, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed Knowledge base. In this paper, using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store.

• Journal of Physiology & Pathology in Korean Medicine
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• v.29 no.1
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• pp.90-100
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• 2015

There are a lot of effort to improve medical service quality and medical trust in Korean Medicine. However, in spite of importance of personalized medicine, there are still few research about it. Thus, the purpose of this study is to grope ways to improve medical service quality and medical trust by sympathy module group and personalized trust. People over 19 were participated in investigation. We divided respondents into 4 groups depending on sympathy module group and 2 groups depending on speed of trust. Questionnaire was consisted of questions about sympathy module group, speed of trust, medical service quality, medical trust, satisfaction and happiness. This questionnaires were conducted through personal interviews. Total 220 members responded to the survey and the results of the analysis were as follows. Rational type had the highest proportion. At Medical service quality scale, Prevention focus group had most highest figure on Confidence. Promotion focus group and Rational Group had most highest figure on Sympathy. At Medical trust scale, Medical team had the highest proportion at all group. Prevention focus group put more emphasis on sense of sanitation, At Satisfaction and Happiness scale, Satisfaction and Happiness was most affected by Trust in Sincerity and Ability. This study can be very useful for composing kit of treatment of personalized medicine. But this study has also some limits such as respondent selection, disease selection etc. So, more detailed and comprehensive survey is needed.

• Archives of design research
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• v.20 no.3 s.71
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• pp.129-140
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• 2007

This study attempts to investigate the personalized schemes of interface for the interactive TV sonics enhancing the satisfaction of users from the standpoints of the user and to suggest designing guidelines. In the preface, firstly, the purpose as well as structure of the study were described, the characteristics of the interactive TV and the personalization were defined. Also, it was attempted to understand the development directions of the basic media for services. In addition, the data and elements that became the ground for this study were arranged, including the elements for designing interface, the appraisal method of usability to evaluate the requirements of users, etc. Then, the interfaces of "SkyTouch", an interactive TV sonics by Skylife having the number of users reaching one million at the moment, that is the representative runner in the interactive TV, were analyzed. Then the needs central to the navigation structure and layout for the convenience of users through the evaluation of usability were examined and arranged. In addition, the designing directions of personalized interfaces were studied in the interactive TV by analyzing the web portal sites which were being carried out prior to the personalized services. Based on the data investigated and analyzed previously, the guidelines for the interface design for the personalization of the interactive TV were suggested by classifying the navigation structure and layout, and the personalized interface design was proposed according to the suggested guidelines by applying them directly to "SkyTouch" that is currently carrying out the interactive sonics although it provides limited services in an independent style.

• Journal of Information Processing Systems
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• v.8 no.2
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• pp.191-212
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• 2012

Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked imposes stringent constraints on the "unlearning" capabilities of the estimator used. Therefore, resorting to strong estimators that converge with a probability of 1 is inefficient since they rely on the assumption that the distribution of the user's preferences is stationary. In this vein, we propose to use a family of stochastic-learning based Weak estimators for learning and tracking a user's time varying interests. Experimental results demonstrate that our proposed paradigm outperforms some of the traditional legacy approaches that represent the state-of-the-art technology.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.62-74
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• 2021

We compare Over-the-Tops (OTTs), Netflix and Amazon Prime Video (APV) with five success factors of innovation. Firstly, Netflix offers better personalized service than APV, because APV has collaborative filtering algorithms to recommend safe bets, not the customers really want. Secondly, APV' user interface is undercooked to lock the members in, even if it has more content and better price offer than Netflix retaining its loyal customers despite the price increase. Thirdly, Netflix has simple subscription model with three tiering, but APV has complicated pricing model having annual and monthly, APV and Prime Video (AV) app, Amazon subscription and extra payment of Amazon Prime Channels (APCs). Fourthly, Amazon has fewer partnership than Netflix especially when it comes to local TV series. Instead, Amazon has live TV channel collaboration including sports content. Lastly, both have strategic and operational agility in their organization well.

• Journal of Information Technology Application
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• v.3 no.1
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• pp.1-21
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• 2001

The explosive growth of the Internet and the increasing popularity of the World Wide Web have generated significant interest in the development of electronic commerce in a global online marketplace. The rapid adoption of the Internet as a commercial medium is rapidly expanding the necessity of Web advertisement as a new communication channel. if proper Web advertisement could be suggested to the right user, then effectiveness of Web advertisement will be raised and it will help company to earn more profit. So, this article describes a personalized advertisement technique as a part of intelligent customer services for an electronic newspaper provide. Based on customers history of navigation on the electronic newspapers pages, which are divided into several sections such as politics, economics, sports, culture, and so on, appropriate advertisements (especially, banner ads) are chosen and displayed with the aid of machine learning techniques, when customers visit to the site. To verify feasibility of the technique, an application will be made to one of the most popular e-newspaper publishing company in Korea.

• Journal of Acupuncture Research
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• v.32 no.1
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• pp.37-51
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• 2015

Objectives : This study aimed to evaluate influential factors affecting patients' surveyed medical service perception of Traditional Korean Medicine(TKM). Methods : This study was a randomized single blind parallel design and 335 patients were participated. After treatment, we carried out a survey about medical service perception index from April 1st 2013 to January 31th 2014. We evaluated and analyzed the difference between Korean internal medicine and acupuncture & moxibustion, and also between the age groups of younger than 30s and older than 40s. Results : As the results of the analysis, acupuncture & moxibustion group had higher points on medical service perception sub factors than Korean internal medicine group. There was no meaningful difference between the age groups. Conclusions : The study showed higher satisfaction with acupuncture & moxibustion than Korean internal medicine, and as variable, department was more influential than age for medical service perception.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.81-89
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• 2019

The purpose of this paper was to investigated the effect of the constituents of Facebook advertisement on ad fitness recognition and WOM intension. In addition, we confirmed the mediating effect of ad fitness recognition. For this purpose, data were collected for Facebook 371 users. The research method used factor analysis and covariance structure analysis. The results of this study were as follows: First, the advertising interest characteristics of Facebook ads had a significant effect on ad fitness and word-of-mouth intension. Second, personalized fit informational attributes of Facebook ads had a significant effect on ad fitness and WOM intension. Third, the perceived responsiveness had a significant effect on perceived fitness of advertisement and WOM intention. Fourth, perceived fitness recognition of Facebook advertisement had a significant effect on WOM intension. The results of this study provide consumers with information on what to consider when creating an identity advertisement and effective advertisement as Facebook advertisement.