• Information Systems Review
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• v.14 no.3
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• pp.115-129
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• 2012

A matchmaking system is a type of recommender systems that provides a set of dating partners suitable for the user by online. Many matchmaking systems, which are widely used these days, require users to specify their preferences with regards to ideal dating partners based on criteria such as age, job and salary. However, some users are not aware of their exact preferences, or are reluctant to reveal this information even if they do know. Also, users' selection standards are not fixed and can change according to circumstances. This paper suggests a new matchmaking system called Decision Tree based Matchmaking System (DTMS) that automatically adjusts the stated standards of a user by analyzing the characteristics of the people the user chose to contact. AMMS provides recommendations for new users on the basis of their explicit preferences. However, as a user's behavioral records are accumulated, it begins to analyze their hidden implicit preferences using a decision tree technique. Subsequently, DTMS reflects these implicit preferences in proportion to their predictive accuracy. The DTMS is regularly updated when a user's data size increases by a set amount. This paper suggests an architecture for the DTMS and presents the results of the implementation of a prototype.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.157-158
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• 2012

본 연구는 온라인 채널상에서 소비자의 구매의사결정이 어떠한 영향을 미치고 있는지 알아보기 위한 실증적인 연구조사이다. 온라인 채널의 가치를 담고 있는 채널자산에는 소비자의 이성적요인과 감성적요인이 영향을 미치고 있다. 이러한 요인들이 소비자의 브랜드 선호도와 브랜드이미지에 영향을 주어 궁극적으로 구매의도를 형성한다는 것을 규명하고자 하였다. 따라서 감성적인 요인이 온라인에 대한 애호도와 선호도에 유의적인 영향을 주는 것으로 밝혀졌고 온라인 이용자가 정보 수집을 추구하면서 단순히 정보탐색자체를 즐기기도 한다는 기존 연구결과를 재확인하였다. 또한 소비자의 감성적 요인이 브랜드 선호도와 이미지에 유의한 결과를 갖게 되어 인지-태도의 순도 가능하다는 것이 규명되었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.423-427
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• 2000

현재의 전자상거래는 일부의 예외들을 제외하고는 하드웨어가 전자상거래의 주요 대상이 되고 있으며 따라서 가장 중요한 수익성의 결정 요소인 효율적인 물류 처리를 위해 많은 노력을 하고있다. 하드웨어의 물류 이동을 수반하지 않는 디지털 상품은 매우 좋은 전자 상거래 대상이 될 수 있으나 오히려 불법 복제 문제 때문에 아직은 전자상거래의 기피 대상이 되고 있다. 전자상거래의 기반 기술인 공개키 암호화 기술의 정착은 디지털 상품의 온라인 유통에도 전혀 새로운 환경을 제공하고 디지털 상품의 유통에 있어 가장 커다란 문제인 사용권 관리 기술에도 커다란 기술적 진전을 가져오게 되어 일반적인 상식과는 달리 사용권관리, 불법 복제 방지는 이제 쉽게 해결될 수 있는 문제가 되었다. 이 논문은 온라인 유통에 적용될 수 있는 디지털 상품들의 특징을 설명하고 이들의 온라인 유통에 효율적으로 적용될 수 있는 동적 사용권 관리 기술에 대해 논의하였다. 이 사용권 관리 기술은 이미 실제 유통 시스템에 잘 적용되고 있어 실례를 통해 그 의미를 살펴보았다.

• Journal of Distribution Research
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• v.12 no.3
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• pp.69-90
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• 2007

This study is set out to investigate the factors that influence customers' behavior of choice and switching between online and offline channels, separating the purchase decision into two stages, i.e., information search and purchase. Factors influencing channel choice are found to differ from stage to stage. The main results of this study are as follows. At the information search stage, customers' channel knowledge had impacts on the choice of the channel. Customers are more likely to visit offline bookstores when they have hedonic shopping orientation and higher involvement level with books. On the contrary, customers are more apt to search online when they have a lot of online shopping experiences. At the purchase stage, the results varied according to the search channel. When customers search for information online, the following variables lead to online purchases: online shopping experiences with books, price-focused shopping orientation, and time availability for shopping. Perceived risk made customers purchase offline even though they searched online. In case of offline searching, customers with more convenience-focused, hedonic-focused shopping orientation and less tim availability purchased offline.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.366-377
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• 2010

As internet and mobile technology brings rapid transformation to this society of information, how relations are conducted between customers have become a critical factor influencing companies. Companies are creating Internet communities based on their brands, encouraging customers to actively form and develop brand communities. Thus, this report proposes a plan to analyze the effectiveness of community activities based on the customers active involvement and how to effectively manage and utilize it. The purpose of this research is to understand the effects on-line brand communities and their characters have on customer behavior. Also, it will study the effects community attitudes have on brand decisions and oral transmission communication when on-line brand communities choose a brand. This report was conducted to survey on-line university students to understand how communities' attitude affects the decision of on-line university brand and oral transmissions when students choose to study at a on-line university. According to research, those factors brought positive responses to character of the brand communities(confidentiality of information, interactivity, convenience, intimacy) and by doing so, on the customer's attitude side, positive results on intention of purchase and oral transmissions can be expected. In addition, the character of the brand communities affects intention of purchase and oral transmission communication. Based on this research, it is possible to propose a marketing strategy that revitalizes brand communities' activities.

• Knowledge Management Research
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• v.22 no.1
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• pp.243-267
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• 2021

Sentiment represents one's own state through the process of change to stimulus, and emotion represents a simple psychological state felt for a certain phenomenon. These two terms tend to be used interchangeably, but their meaning and usage are different. In this study, we try to find out how it affects the helpfulness of reviews by classifying sentiment and emotion through online reviews written by online consumers after purchasing and using various products and services. Recently, online reviews have become a very important factor for businesses and consumers. Helpful reviews play a key role in the decision-making process of potential customers and can be assessed through review helpfulness. The helpfulness of reviews is becoming increasingly important in practice as it is utilized in marketing strategies in business as well as in purchasing decision-making issues of consumers. And academically, the importance of research to find the factors influencing the helpfulness of reviews is growing. In this study, Yelp.com secured reviews on restaurants and conducted a study on how the sentiment and emotion of online reviews affect the helpfulness of reviews. Based on the prior research, a research model including sentiment and emotions for online reviews was built, and text mining analyzes how the sentiment and emotion of online reviews affect the helpfulness of online reviews, and the difference in the effects on emotions It was verified. The results showed that negative sentiment and emotion had a greater effect on review helpfulness, which was consistent with the negative bias theory.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.347-364
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• 2022

Fraudulent companies or sellers strategically manipulate reviews to influence customers' purchase decisions; therefore, the reliability of reviews has become crucial for customer decision-making. Since customers increasingly rely on online reviews to search for more detailed information about products or services before purchasing, many researchers focus on detecting manipulated reviews. However, the main problem in detecting manipulated reviews is the difficulties with obtaining data with manipulated reviews to utilize machine learning techniques with sufficient data. Also, the number of manipulated reviews is insufficient compared with the number of non-manipulated reviews, so the class imbalance problem occurs. The class with fewer examples is under-represented and can hamper a model's accuracy, so machine learning methods suffer from the class imbalance problem and solving the class imbalance problem is important to build an accurate model for detecting manipulated reviews. Thus, we propose an OpenAI-based reviews generation model to solve the manipulated reviews imbalance problem, thereby enhancing the accuracy of manipulated reviews detection. In this research, we applied the novel autoregressive language model - GPT-3 to generate reviews based on manipulated reviews. Moreover, we found that applying GPT-3 model for oversampling manipulated reviews can recover a satisfactory portion of performance losses and shows better performance in classification (logit, decision tree, neural networks) than traditional oversampling models such as random oversampling and SMOTE.

• Journal of Game and Entertainment
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• v.1 no.1
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• pp.8-14
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• 2005

지금의 게임 시장은 Stand Alone형식의 컴퓨터 게임을 디스켓이나CD와 같은 미디어를 판매함으로써 수익을 창출하는 것과는 달리 온라인 게임화 되어 사용자들이 얼마나 오랜 시간 동안 게임을 이용하였는가에 의해 수익을 창출한다. 다시 말해 온라인 게임 수익의 증가는 게임 이용자의 이용 시간 증가에 의해 결정된다[1]. 따라서 게임업계의 이윤은 바로 유저들의 게임을 이용한 시간 즉, 얼마나 게임에 대한 지속성을 최대화 한다면 이윤은 극대화 될 것이다. 그러면 이러한 게임의 지속성은 어떤 요소에 의하여 정해지는 것일까? 이 질문에 대한 답을 알 수 있다면 온라인 게임에서의 이윤추구는 더욱 쉬워질 수 있을 것이다. 본 논문에서는 온라인 게임의 총체적인 구성 중에서 게임을 구성하고 있는 색이 게임을 사용하는데 있어서 지속성을 가져다주는 중요한 요인이라는 주장을 입증하고자 한다. 이러한 주장을 입증하기 위한 근거로서 게임과 색의 기본적인 개념 파악 및 색이 우리에게 미치는 영향 등 이론 조사를 하였다. 다음으로 선행된 연구 자료를 인용하여 몰입과 사용시간, 색과 사용시간에 대하여 분석하고 마지막으로 사례분석을 통해 색채가 온라인 게임의 지속성에 영향이 있음을 알 수 있었다.

• Journal of Korea Game Society
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• v.4 no.1
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• pp.3-13
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• 2004

On today, online community that is irrespective to geometrical area and time has been appeared by information technology and development of internet. It has been significant decision method of a personal and company. And online community is variously classified by it's purpose. Among online community, online game community is be roughly classed as community in online game and community in related online game. Community in related online game community is means for interchanging informations using e-mail, bulletin board, so as on. These information contain game playing, game contents so as on. And community in online game is implemented as team, item exchange, chatting etc. Importance of community in online game and community in related online game have been increased. But online game community is not distinguished, comparing with importance of it. So, in this paper, we study on the case analysis of cyworld's community that developed characteristic community. Cyworld community is suitable for new generation and korean life style, method of adaption online game. This paper should be profitable for community in re lated online game, community company to planning, developing a characteristic community.

• The KIPS Transactions:PartB
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• v.14B no.7
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• pp.513-522
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• 2007

Clustering is to divide given data and automatically find out the hidden meanings in the data. It analyzes data, which are difficult for people to check in detail, and then, makes several clusters consisting of data with similar characteristics. On-Line Document Clustering System, which makes a group of similar documents by use of results of the search engine, is aimed to increase the convenience of information retrieval area. Document clustering is automatically done without human interference, and the number of clusters, which affect the result of clustering, should be decided automatically too. Also, the one of the characteristics of an on-line system is guarantying fast response time. This paper proposed a method of determining the number of clusters automatically by geometrical information. The proposed method composed of two stages. In the first stage, centers of clusters are projected on the low-dimensional plane, and in the second stage, clusters are combined by use of distance of centers of clusters in the low-dimensional plane. As a result of experimenting this method with real data, it was found that clustering performance became better and the response time is suitable to on-line circumstance.