• Title/Summary/Keyword: Website Feature

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STRUCTURED WEBSITE CONTENTS CONSTRUCT METHOD AND ITS EVAUATIONS

  • Okada, Mamoru;Yamaoka, Toshiki;Matsunobe, Takuo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.05a
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    • pp.125-130
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    • 2001
  • We evaluated structured web site contents construct method. The method for construction web contents was considered. The construction procedure is as follows. Elicit "user requirement" and the web management side needs. Mark a check where each line and row corresponds to clarify the relation between both in the matrix by which user requirements and the purposes are arranged in lines and rows. To understand the systematic feature of the web site itself, "grasping information" and "structuring" are necessary. We actually constructed web site contents of a theatrical company using this method. and we got the construction of existing web site contents of another theatrical company. We compared our constructed web site contents with the existing web site contents. Finally, we evaluated this method and testified that this method is useful.

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the Development of Personalization Design framework for building Customized Website - focused on the Application of Design Recommender System (고객맞춤형 웹사이트 구현을 위한 개인화 디자인 프레임웍의 개발 - 디자인 추천 시스템의 활용을 중심으로)

  • 서종환
    • Archives of design research
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    • v.16 no.2
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    • pp.23-34
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    • 2003
  • The need for personalized web site design has been increased these days. Current approach for personalized web site design is easily applied to web site with their cost-effective feature, but is hard to provide a more refined personalized service due to its lack of accumulation of user data. In this study, the design recommender system is investigated as a more advanced method for web site design personalization. We provide an overview of current recommender systems, and then outlined a newly developed design recommender system, which employs collaborative filtering technique to provide tailored recommendation for users.

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The Effects of Social Media Advertising on Social Search in China: Evidence from Luxury Brand

  • GAO, XING;Kim, Sang Yong;Kim, Da Yeon;Lee, Seung Min
    • Asia Marketing Journal
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    • v.21 no.3
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    • pp.65-82
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    • 2019
  • This study examines the relationship between social media advertisement and customer interest in the context of luxury brands. Further, this study investigates the effective ways to utilize visual types (pictorial advertisement and video advertisement) and contents types (website link and hash-tag) in social media advertising by proposing a time-series model to estimate the long-term effect of social media advertising on social search. We find that the pictorial advertisements are more effective than video advertisements, which provides a different result from previous existing research. In addition, advertisements using hashtags are more effective than web links due to efficiency of the search feature. Finally, since the number of brand fans also have a positive effect on advertising interest, it is essential to utilize social media advertising for the enhancement of customers' interests. Confirming that the effectiveness of social media advertising varies depending on how the visual contents and text are presented, this research can help marketing managers to assess predicted outcomes of using various methods of social media advertising.

Sentiment Analysis to Evaluate Different Deep Learning Approaches

  • Sheikh Muhammad Saqib ;Tariq Naeem
    • International Journal of Computer Science & Network Security
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    • v.23 no.11
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    • pp.83-92
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    • 2023
  • The majority of product users rely on the reviews that are posted on the appropriate website. Both users and the product's manufacturer could benefit from these reviews. Daily, thousands of reviews are submitted; how is it possible to read them all? Sentiment analysis has become a critical field of research as posting reviews become more and more common. Machine learning techniques that are supervised, unsupervised, and semi-supervised have worked very hard to harvest this data. The complicated and technological area of feature engineering falls within machine learning. Using deep learning, this tedious process may be completed automatically. Numerous studies have been conducted on deep learning models like LSTM, CNN, RNN, and GRU. Each model has employed a certain type of data, such as CNN for pictures and LSTM for language translation, etc. According to experimental results utilizing a publicly accessible dataset with reviews for all of the models, both positive and negative, and CNN, the best model for the dataset was identified in comparison to the other models, with an accuracy rate of 81%.

Academic Conference Categorization According to Subjects Using Topical Information Extraction from Conference Websites (학회 웹사이트의 토픽 정보추출을 이용한 주제에 따른 학회 자동분류 기법)

  • Lee, Sue Kyoung;Kim, Kwanho
    • The Journal of Society for e-Business Studies
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    • v.22 no.2
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    • pp.61-77
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    • 2017
  • Recently, the number of academic conference information on the Internet has rapidly increased, the automatic classification of academic conference information according to research subjects enables researchers to find the related academic conference efficiently. Information provided by most conference listing services is limited to title, date, location, and website URL. However, among these features, the only feature containing topical words is title, which causes information insufficiency problem. Therefore, we propose methods that aim to resolve information insufficiency problem by utilizing web contents. Specifically, the proposed methods the extract main contents from a HTML document collected by using a website URL. Based on the similarity between the title of a conference and its main contents, the topical keywords are selected to enforce the important keywords among the main contents. The experiment results conducted by using a real-world dataset showed that the use of additional information extracted from the conference websites is successful in improving the conference classification performances. We plan to further improve the accuracy of conference classification by considering the structure of websites.

Serendipity: The Effect of Technological Features in Social Curation Websites (소셜 큐레이션 웹사이트의 기능적 특성과 그 효과에 관한 연구: "뜻밖의 발견"을 중심으로)

  • Kim, Hyung Jin;Kang, Sooyeon;Lee, Ho Geun
    • Information Systems Review
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    • v.17 no.2
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    • pp.133-156
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    • 2015
  • A recent interesting user experience in social curation websites is that they often encounter unanticipated, valuable information through accidental, incidental, or serendipitous discoveries. Prior research suggests that serendipity can help solve a problem, generate a creative idea, and invent a new product because it allows for an intellectual leap to arrive at a novel insight that is suddenly instrumental to a task. Despite the significant roles, the notion of serendipity is relatively unexplored especially in the context where people actually experience it, such as social curation websites. In this study, we theoretically identified the key technological features of social curation websites, which support three major curation activities respectively: browsing, collection, and interaction. We then examined their impacts on the occurrence of serendipitous discoveries in the process of information seeking. Our results using data collected from real users reveal that the technological features all affected user experience of serendipity and the interaction feature has stronger impacts than the other two. Moreover, it was also found that user experience of serendipity significantly affected website usage behavior such as intention to return and intention to contribute to the website.

A Study on the Using of Social Network Services of Libraries in Korea (국내 도서관의 소셜네트워크서비스 실태조사)

  • Byeon, Hoi-Kyun;Cho, Hyun-Yang
    • Journal of Korean Library and Information Science Society
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    • v.44 no.4
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    • pp.255-275
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    • 2013
  • This study aims to examine the case of using the social network services in the korea library, and then search the type of social network services and the status of it's introduction. It is used to the study of the introduction and the invigoration of social network services on the compatible library. First, we extracted the list of four type's high level management libraries from 2010 to 2012. Second, we examined the website's homepage of the list of 32's university library, 41's public library, 40's school library, 9's special library. Third, the result of analysis identified the feature and difference of the using the social network services of these libraries. Fourth, on the base of the result, it suggested some items of introduction's issue and the directions of future research.

Universal Design characteristics shown in the Japanese model houses (일본 주택의 유니버설디자인 특성에 관한 연구)

  • Lee, Yeunsook;Lee, Soyoung;Yeo, Wookhyun;Jang, Miseon;Lee, Sunmin;Lee, Yoojin
    • KIEAE Journal
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    • v.7 no.1
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    • pp.5-13
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    • 2007
  • Since aging has become one of most hot and serious issues in the whole global world, universal design as a strategic concept to enable the elderly age in place has received much attention and its importance is getting recognized. Japan has undergone the Aging phenomenon much earlier than Korea and other countries. During that time, through much trials and errors, it accumulated the wisdoms and techniques to precede aging friendly environment and products. Therefore current Japan house is a comprehensive setting which embraces lots of universal design features that has a valuable implication for Korean development that faces fast aging future. The purpose of this study was to delineate characteristics of universal design features appeared in Japanese Model houses. One site of housing park in the city where various model houses of representative housing construction companies was selected as a cluster area for data collecting. Data were collected mainly through field survey at the housing park of Tokyo during November, 2006, and additional data were collected through website and company information of relevant company. Universal design features were extracted for 17 houses of the housing park and sorted and analyzed according to the analysis frame. The frame were made using 2 major clusters; space area, and 8 universal design principle. Results showed a range of universal design feature and its detail universal design principle satisfied. The 8 principle currently developed became to house realistic practical examples and theory became proved its impractical power. The academic, educational and industrial implication were documented.

A Study on the Research Tendency of Sensibility Study in Space Study - Focused on Keyword Analysis of research papers - (공간연구에 있어서 감성적 연구경향에 관한 연구 - 연구논문의 키워드분석을 중심으로 -)

  • Jung, A-Young;Oh, Young-Keun
    • Korean Institute of Interior Design Journal
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    • v.17 no.5
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    • pp.157-165
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    • 2008
  • This study confirm the value and the importance of the human sensibility study to add up the new meaning, and to suggest a new value of Korean sensibility study through the understanding of current statusand trend of the sensibility study in the space. The method of the study was to collect date related to the sensibility study and to analyze it focusing on its details. The date was collected from researches published on the website since the establishment of Korean Institute of Interior Design and Architectural Institute of Korea and selected at the keyword search comer. The data was extracted under keywords of research object, research purpose, research method, and analysis method. And then it was quantified with HAYASH lll program and used for analyses according to its pattern and feature. The study shows that nowadays categories representing the current status and trend of the sensibility studies in space consist of the environment, the human, and the space. The contemporary study for sensibility puts the importance on a object and a subject of the study like the environment harmonized with human and space, the humans the subject that essentially uses the spate, and the space for the architecture and the interior that puts human in. Accordingly, the study for human sensibility should develop into the study for the design focused on the intangible relationship such as 'information', 'elements for space design', 'sensibility' beyond the existing tangible categories of environment, human, and space. In addition, in the method ways of study and analysis, those studies for the sensible relationship are required to develop into new types of study applying research methods of various studies beyond the traditional border between human studies, social science, and natural science.

Comparative research on urban image assets of Iksan by analysing bigdata (빅데이터 분석을 통한 익산의 도시 이미지 자산 비교 연구)

  • Yang, Ji-Yu
    • Journal of Digital Contents Society
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    • v.19 no.2
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    • pp.385-392
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    • 2018
  • Iksan is one of medium city in Jellabukdo, South Korea. It has a favorable natural environment for the specialization potential of natural industries and development projects. In addition, it has various historical and cultural resources including Mireuksajji, and KTX Honam line which has been opened for a representative feature as transport city. However, it faces week connection with neighboring cities and large scale of development in neighboring areas, especially in Jeonju and Gunsan. In this paper, we try to classify the urban image assets of Iksan as 'Iksan Station' and 'ktx' on keywords and analyze the possibility of being a center of transportation and logistics through big data analysis extracted from SNS and website. In comparison with Gwangju Songjeong, KTX Honam line station, which has been developed with similar regional characteristics, it is aimed to establish the basis of improvement and establishment of urban image of Iksan city in the future.