• 통합자연과학논문집
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• 제14권4호
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• pp.183-188
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• 2021

Collaborative filtering is one of the commonly used methods in the web recommendation system. Numerous researches on the collaborative filtering proposed the numbers of measures for enhancing the accuracy. This study suggests the movie recommendation system applied with Word2Vec and ensemble convolutional neural networks. First, user sentences and movie sentences are made from the user, movie, and rating information. Then, the user sentences and movie sentences are input into Word2Vec to figure out the user vector and movie vector. The user vector is input on the user convolutional model while the movie vector is input on the movie convolutional model. These user and movie convolutional models are connected to the fully-connected neural network model. Ultimately, the output layer of the fully-connected neural network model outputs the forecasts for user, movie, and rating. The test result showed that the system proposed in this study showed higher accuracy than the conventional cooperative filtering system and Word2Vec and deep neural network-based system suggested in the similar researches. The Word2Vec and deep neural network-based recommendation system is expected to help in enhancing the satisfaction while considering about the characteristics of users.

• 한국정보시스템학회지:정보시스템연구
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• 제32권3호
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• pp.1-17
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• 2023

Purpose The proliferation of data on the internet has created a need for innovative methods to analyze user satisfaction data. Traditional survey methods are becoming inadequate in dealing with the increasing volume and diversity of data, and new methods using unstructured internet data are being explored. While numerous comment-based user satisfaction studies have been conducted, only a few have explored user satisfaction through video and audio data. Multimodal sentiment analysis, which integrates multiple modalities, has gained attention due to its high accuracy and broad applicability. Design/methodology/approach This study uses multimodal sentiment analysis to analyze user satisfaction of iPhone and Samsung products through online videos. The research reveals that the combination model integrating multiple data sources showed the most superior performance. Findings The findings also indicate that price is a crucial factor influencing user satisfaction, and users tend to exhibit more positive emotions when content with a product's price. The study highlights the importance of considering multiple factors when evaluating user satisfaction and provides valuable insights into the effectiveness of different data sources for sentiment analysis of product reviews.

• Asia pacific journal of information systems
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• 제16권3호
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• pp.159-176
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• 2006

Collaborative filtering is one of the popular techniques for personalized recommendation in e-commerce. In collaborative filtering, user profiles are usually managed per product category in order to reduce data sparsity. Product diversification of Internet storefronts and multiple product category sales of e-commerce portals require cross-product category usage of user profiles in order to overcome the cold start problem of collaborative filtering. In this paper, we study the feasibility of cross-product category usage of user profiles, and suggest a method to improve recommendation performance of cross-product category user profiling. First, we investigate whether user profiles on a product category can be used to recommend products in other product categories. Furthermore, a way of utilizing user profiles selectively is suggested to increase recommendation performance of cross-product category user profiling. The feasibility of cross-product category user profiling and the usefulness of the proposed method are tested with real click stream data of an Internet storefront which sells multiple product categories including books, music CDs, and DVDs. The experiment results show that user profiles on a product category can be used to recommend products in other product categories. Also, the selective usage of user profiles based on correlations between subcategories of two product categories provides better performance than the whole usage of user profiles.

• 디지털산업정보학회논문지
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• 제19권1호
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• pp.91-107
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• 2023

With the recent expansion of the commerce ecosystem, a large number of user evaluations have been produced. Accordingly, attempts to create business insights using user evaluation data have been actively made. However, since user evaluation can change after the user experiences the product, it is difficult to say that the analysis based only on reviews immediately after purchase fully reflects the user's evaluation of the product. Moreover, studies conducted so far on user evaluation have overlooked the fact that the length of time a user has used a product can affect the user's product evaluation. Therefore, in this study, we build a model that predicts the direction of change in the user's rating after use from the user's rating and reviews immediately after purchase. In particular, the proposed model reflects the product's period of use in predicting the change direction of the star rating. However, since the posterior information on the duration of product use cannot be used as input in the inference process, we propose a structure that utilizes information about the product's period of use using an auxiliary classifier. As a result of an experiment using 599,889 user evaluation data collected from the shopping platform 'N' company, we confirmed that the proposed model performed better than the existing model in terms of accuracy.

• 한국문헌정보학회지
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• 제40권2호
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• pp.435-455
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• 2006

이용자행태에 관한 경험적 연구의 양적인 발전에도 불구하고 연구방법이나 방법론적인 시각에서 이러한 연구들을 분석한 시도는 많지 않았으며, 방법론상 이론적인 틀의 부재 또한 지적되어왔다. 이와 같은 측면을 반영하여 본 연구는 최근에 수행된 이용자행태 연구를 대상으로 연구결과 일반화, 즉 외적타당성에 영향을 끼치는 요인들을 분석하였다. 연구대상은 최근 JASIST에 실린 이용자행태논문으로 하여 미국정보학계의 이 분야 연구특징 분석에 주안점을 두었다. 연구대상이 된 논문 별로 연구결과 일반화와 관련된 다양한 사례를 설명하고 각 사례별 유형을 식별한 후 이를 토대로 연구 방법론적 틀을 제시하였다.

• 한국실내디자인학회논문집
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• 제27권3호
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• pp.62-70
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• 2018

The rapid development of information technology makes people's lifestyles constantly changing, bringing great changes to the library building. As a product of the development of public libraries, community libraries have an important impact on community cohesion and revitalization through providing targeted learning and leisure services to residents. Under the trend of social and community development, the community library's user-centered space must adapt to the diverse needs of community users and make the self-improvement. First of all, this study summarizes the concept of community and community libraries through literature review, and then make a theoretical investigation on the composition of user-centered space. Finally this study bases on the cases of community library buildings in the United States and Britain, and initially explores the composition of user-centered space in these libraries, and then analyzes and summarizes the architectural characteristics of it. Exploring how community can be activated and cohesive through community libraries user-centered space. Hope that this study can provide some reference to the contemporary community library design.

• 한국정보시스템학회지:정보시스템연구
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• 제17권1호
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• pp.23-43
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• 2008

Nowadays, openness and accessibility of information systems increase security threats from inside and outside of organization. Appropriate password is supposed to bring out security effects such as preventing misuses and banning illegal users. This study emphasizes on choosing passwords from perspective of information security and investigated user's security awareness affecting behavioral intention. The research model proposed in this study includes user's security belief which is influenced by risk awareness factors such as information assets, threats and vulnerability elements. The risk awareness factors ale derived from risk analysis methodologies for information security. User's risk awareness is a factor influencing the security belief, attitude toward security behavior, and security behavioral intention. According to the result of this study, while vulnerability is not related to the risk awareness, information assets and threats are related to the user's risk awareness. There is a significant relationship between risk awareness and security belief. Also, user's security behavioral intention is significantly affected by security attitude.

• 한국비블리아학회지
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• 제25권4호
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• pp.187-207
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• 2014

대출기록은 공공도서관에 축적되는 다양한 이용데이터로 이용 행태 분석을 통해 도서관서비스 개선에 적극 반영할 수 있다. 본 연구는 강서 양천지역 공공도서관 2개관의 대출기록 754,198건을 대상으로 대출이용자 및 대출 횟수, 대출자료, 대출시간 및 대출요일 분석을 실시하였다. 분석을 통해 두 도서관의 주된 이용자 계층, 도서관 방문 횟수, 주로 이용되는 자료의 주제, 주로 이용되는 시간을 확인할 수 있었고, 근접하였지만 환경이 서로 다른 두 도서관의 유사한 이용행태를 밝혀냄으로써 대출기록의 활용방안을 제시하였다.

• 한국실내디자인학회논문집
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• 제14권4호
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• pp.54-61
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• 2005

The purpose of this study is to examine the physical factors of work environment and to establish the evaluation factors for office design for wheelchair users. This study is based on the existing research for office environmental factors; and then clarifies the physical factors that are suitable for circumstances of wheelchair users. These factors are composed three physical factors which are space, furniture arrangement, and ambient condition and then each of these factors has detailed several elements. Futhermore, comparing physical factors between a non-wheelchair user and a wheelchair user with work environment is analyzed on the assumption using the system furniture on the market. This study is expected to be used as basic information to provide the way of improving office space plan for wheelchair user in workplace. This resource can serve as a checklist when renovating, re-designing or building a new office space for wheelchair users. The evaluation of office environmental factors for wheelchair users who work in public and/or private companies is needed for the next research.

• 한국정보시스템학회지:정보시스템연구
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• 제28권1호
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• pp.183-206
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• 2019

Purpose Research purpose is extraction of the factors affecting game flow and satisfaction in mobile game. Design/methodology/approach In mobile game, the factors affecting game flow were classified into three parts: mobile game platform characteristics, user cognition characteristics, and user individual characteristics through previous studies for existing online game and mobile game. In the research we extracted the factors as follows: the connectivity, usability, network speed, pleasure, service quality, relatedness, proficiency, self-fulfillment, early adopter tendency, and competitive spirit. Using the factors, we established research model and tested hypotheses empirically. This survey was conducted five months targeting from teenagers to fifties with mobile game experience. The questionnaire items were reconstructed according to the questionnaires of the present study or those newly developed by the game experts and total 56 items in the literature of Internet game, smartphone game, and mobile game based on the existing literature study respectively. Findings According to the analysis result, this study showed that ease of use, enjoyment, self - fulfillment and competitive spirit had a significant influence on user flow and also that service quality, proficiency and competitive spirit had a significant influence on user satisfaction in mobile games.