• Title/Summary/Keyword: SNS Content

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Content-based Movie Recommendation system based on demographic information and average ratings of genres. (사용자 정보 및 장르별 평균 평가를 이용한 내용 기반 영화 추천 시스템)

  • Ugli, Sadriddinov Ilkhomjon Rovshan;Park, Doo-Soon;Kim, Dae-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.34-36
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    • 2022
  • Over the last decades, information has increased exponentially due to SNS(Social Network Service), IoT devices, World Wide Web, and many others. Therefore, it was monumentally hard to offer a good service or set of recommendations to consumers. To surmount this obstacle numerous research has been conducted in the Data Mining field. Different and new recommendation models have emerged. In this paper, we proposed a Content-based movie recommendation system using demographic information of users and the average rating for genres. We used MovieLens Dataset to proceed with our experiment.

An Analysis of the Comparative Importance of Heuristic Attributes Affecting Users' Voluntary Payment in Online News Content (자발적 독자구독료에 영향을 미치는 온라인 뉴스 콘텐츠의 휴리스틱 속성 간 상대적 중요도 분석)

  • Lee, Hyoung-Joo;Chung, Nuree;Yang, Sung-Byung
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.177-195
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    • 2017
  • Traditionally, news was consumed only through printed newspapers and broadcasting media, such as radio and television. However, the Internet has enabled people to consume news content online. Since most of online news content has been provided for free, it is not easy for news providers to charge the fixed subscription fee for online news content. Therefore, as an alternative strategy, some online news providers have tried to adopt the Pay-What-You-Want (PWYW) pricing model, which allows users (readers) to pay as much as they want after consuming news content. As this pricing model shows some possibility to grow and replace the unsuccessful monetization strategy of online news content, we therefore examined the comparative importance of seven heuristic attributes (i.e., article evaluation, article share, article comment, article information design, article length, writer SNS, and writer information) affecting readers' voluntary payment behavior through a conjoint analysis with 379 news articles collected from online news Website (i.e., Ohmynews.com) where the PWYW model has been working successfully. This study found that article share and article length are the most important factors which affect online news content users' voluntary payment. Finally, two major and eight minor propositions are suggested based on the findings of the study. This study would suggest guidelines for how to create online news content which induces much more voluntary payment.

Design of Mobile Learning Contents using u-smart tourist information (u-스마트 관광정보를 이용한 모바일 학습 콘텐츠 설계)

  • Sun, Su-Kyun
    • Journal of Digital Convergence
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    • v.12 no.3
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    • pp.383-390
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    • 2014
  • In recent years, the convergence of IT and IT sightseeing tour has emerged as a fusion of academic disciplines in the future. Convergence study of social data analysis, raising the heat. Social Network Services (SNS) being utilized in many areas of marketing and to apply the case study is also increasing. This study is based u-smart tourist information systems for mobile learning content design. This is the pattern of things in the template library for things to increase the effectiveness of the learning content to mobile learning content to be converted to a. Design of mobile learning content using u-smart things smart phone app (App) and XMI to go through the design process of utilizing the heat. Future through the design process by implementing a mobile learning content to meet information quality tourist information content to create mobile learning content and learning things that can be content to live it up advantage.

The Analysis of Public Awareness about Literary Therapy by Utilizing Big Data Analysis - The aspects of convergence literature and statistics (빅데이터 분석을 통한 문학치료의 대중적 인지도 분석 - 국문학과 통계학의 융합적 측면)

  • Choi, Kyoung-Ho;Park, Jeong-Hye
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.395-404
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    • 2015
  • This study is exploring objective awareness of literary therapy by consideration of popular perception about literary therapy through analysis of big data. The purpose of this study is the deduction of meaning information through analysis in the viewpoint of big data at online social network service(SNS) about 'literary therapy'. Accordingly, the main way of research became content analysis of keyword linked to literary therapy by utilizing opinion mining method related to text mining. The study mainly grasped 'literary therapy' and analyzed 'bibliotherapy' comparatively. The period of study was from Oct. 10th to Nov. 10th, 2014(during 30 days), and SNS such as blog or twitter became the subject of search. Through the result of study analysis, the conclusion that the spread of literary therapeutic prospect, structural harmony of literary therapeutic field, and the solidity of perceptional axis about literary therapy are needed can be drawn. This study is worthwhile because it can investigate popular awareness about literary therapy and can suggest alternative for invigoration of literary therapy.

Formulating Strategies from Consumer Opinion Analysis on AI Kids Phone using Text Mining (AI 키즈폰의 소비자리뷰 분석을 통한 제품개선 전략에 대한 연구)

  • Kim, Dohun;Cha, Kyungjin
    • The Journal of Society for e-Business Studies
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    • v.24 no.2
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    • pp.71-89
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    • 2019
  • In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.

A Study on the Relationship between Virtual influencer Attributes, Imitation Intention, and Usage Intention (가상 인플루언서의 속성과 모방의도, 이용의도의 관계에 관한 연구)

  • Park, Jinwoo
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.3
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    • pp.245-251
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    • 2022
  • This study attempted to examine the effect of virtual influencer, which is highly interested in consumers, and has recently been increasing the frequency of use in corporate marketing activities. In particular, the purpose is to examine the effect of the attributes of virtual influencer on consumers as an information source for a product or brand. To this end, the effect of perceived attractiveness, trustworthiness, and expertise of virtual influencer on SNS usage intention and imitation intention consumers was examined. As a result of the study, it was found that attractiveness among the attributes of virtual influencer had a positive effect on the usage intention, and attractiveness and trustworthiness had a positive effect on imitation intention. In addition, it was found that imitation intention had a positive effect on usage intention. In other words, the perceived attractiveness of virtual influencer by consumers through SNS is the most important attribute. These findings imply that when virtual influencer is used in marketing, companies must perceive the attractiveness of virtual influencer through content posted on SNS as well as their attributes as information sources. We expect the results of this study to provide major implications for marketing activities such as companies and public institutions that consider using virtual influencer.

Practical Study on Methods to Revitalize Traditional Market (전통시장 활성화 방법에 관한 실제적 연구)

  • Yoon, Seongwon
    • Journal of Service Research and Studies
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    • v.14 no.2
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    • pp.69-81
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    • 2024
  • The The purpose of this study is to have a positive impact on the evaluation of the traditional market revitalization project by discussing the business details and implementation process of the commercial district revitalization project in depth. The research method uses practical methods for traditional market revitalization projects. First, the activation method of the place was examined through the concepts of Oldenburg's 'Third Place' and Carr et al.'s 'Five Demands for Public Space' and the theories related to non-face-to-face transactions were examined. The first study case was the commercial district revitalization project of the Cheongju Global Market Development Project(Seongan-gil Street Shopping Mall and Yukgeori traditional Market), which discussed revitalization of open space, revitalization through reproduction, and revitalization through festivals. The revitalization project through representation is a project to install a symbolic sculpture at the estimated location of the 'Namseokgyo' buried in Yukgeori traditional Market. The revitalization through the festival is the Korea Sale Festa, which is a vibrant business due to increased sales at traditional markets and shopping malls and floating population in open spaces. The second study case was the Cultural Tourism Promotion Project(Hanmin traditional Market), which discussed revitalization through the development of local brands and SNS content. In the conclusion, the relationship between the six projects and commercial district revitalization methods was discussed, and policy recommendations were made, mentioning the importance of reflecting regional characteristics in design planning. We hope that this study will be used to positively evaluate the traditional market revitalization project, showing that stakeholders are working hard to produce positive results within institutional limitations.

3D Web based Collaborative Authoring System of Tangible Contents (3D 웹 기반 실감 콘텐츠 협업 저작시스템 연구)

  • Lee, Changhyeon;Kwon, Yong-Moo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.308-309
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    • 2011
  • 최근 소셜 미디어(Social Media)라는 말은 컴퓨터 관련 연구분야에 종사하는 사람들 뿐만 아니라 일반 사람들도 모르는 사람이 없을만큼 중요하고, 많이 쓰이는 말이다. 본 연구에서는 인터넷과 통신기기의 발달로 이러한 소셜 미디어들이 사용자들이 감당할 수 없을 만큼 생성되지만 이러한 소셜 미디어를 어떻게 사용하고 효율적으로 묶어서 표현해야 하는지에 관한 연구이다. 소셜미디어의 종류에는 블로그, 소셜 네트워킹 서비스(SNS), 위키, UCC, 마이크로 블로그 등으로 나누어진다. 본 연구에서는 Social Media를 기반으로 Tangible Blog를 위한 콘텐츠를 저작하는 시스템에 관한 연구를 진행한다. 여기서 소셜미디어는 일반적으로 사용되는 사진, 동영상, 효과음, 텍스트에 3D Contents를 추가는 것을 목표로 한다. 3D Contents는 현재 게임분야에 많이 사용되고 있는 Kinect를 이용하여 생성하고 이러한 소셜 미디어들을 Web 환경에서 Authoring 하는 방법에 관한 연구를 소개한다. 최종적으로는 현재 많이 사용되고 있는 Blog의 형태에서 발전한 Tangible Blog를 만드는 것이 목표이다. 여기서 Tangible Blog는 기존의 텍스트, 음악, 동영상 등의 소스를 이용한 사용자의 일상생활 및 의견 표현을 넘어선 3D Contents의 활용, 스토리텔링 기법 활용 및 Sensory Effect를 활용한 실감 있는 블로그를 만드는 것을 목표로 한다.

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The Effect of Game Platforms Selection of Mobile Game Firms on Value Capture: Content Qualitative Analysis (모바일 게임개발사의 게임 플랫폼 선택활동이 가치확보에 미치는 영향: 콘텐츠 질적 분석)

  • Bae, Joonheui;Koo, Dong Mo
    • Journal of Korea Game Society
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    • v.16 no.6
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    • pp.173-184
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    • 2016
  • This research explores strategy for game developers to select platforms in the game industry where are traditional two-sided market focusing on mobile game platforms. We conducted content qualitative analysis by collecting data through contents on online and offline and interviewed four CEO of game developers to secure validity and reliability as well. The results of the research are the following: First, platforms selection factors of game developers are game implementation ability and technical stability, marketing competence of platforms, and profitability creation. Second. the initiative of mobile game platforms has handed over from first generation of mobile games to second mobile games according to their value creation and value capture.

Korean V-Commerce 2.0 Content and MCN Connected Strategy (국내 V커머스 2.0 콘텐츠와 MCN 연계 전략)

  • Jung, Won-sik
    • Journal of Digital Contents Society
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    • v.18 no.3
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    • pp.599-606
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    • 2017
  • 'Video Commerce' has grown significantly, and is in the era of so-called V-commerce 2.0. Based on this background, this study focused on the link and the possibility of creating synergy between V-commerce 2.0 content and MCN, and examined the linkage strategy considering its characteristics. In conclusion, first, V-Commerce has evolved into the age of 2.0, centered on the characteristics of content that are oriented towards fun and sympathy, beyond the 1.0 era. Second, V-commerce 2.0 content has the characteristic of replacing the sharing and recommendation based on the nature of SNS networks as promotion and purchase enhancement. Therefore, competitiveness as 'content' is relatively important before 'commerce'. Third, V-commerce 2.0 and MCN industry have a strong connection with each other in terms of securing core competitiveness and creating a new profit model. In order to create the synergy between V-Commerce 2.0 and MCN, we proposed the use of big data to reinforce V-Commerce 2.0 customized content competitiveness, building of storytelling marketing and branding, and enhancement of live performance and interactive communication.