• 제목/요약/키워드: User-generated Content

검색결과 139건 처리시간 0.021초

pLog: User Generated Media for Personal LBS

  • Kaji, Hideki;Arikawa, Masatoshi
    • 한국공간정보시스템학회 논문지
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    • 제11권2호
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    • pp.54-62
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    • 2009
  • This paper proposes a framework for personal location based services with personal life content, for example diaries, schedules and to-do lists. A lot of Internet users are recording their personal experiences and knowledge as text and other digital media on the network. Our proposed tool provides users with an environment to store personal records with related place attributes, and to retrieve these personal records at the right place. There are two applications on this tool, a place-enhanced blog and a LBS client on a mobile phone. The place enhanced blog provides users with blog interfaces for inputting place information. The place rem inder is a browser for spatial data on the place enhanced blog. Users can generate place information by writing personal records on their blog. Furthermore, using the LBS client, other users can retrieve personal records at the appropriate spots.

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Relighting 3D Scenes with a Continuously Moving Camera

  • Kim, Soon-Hyun;Kyung, Min-Ho;Lee, Joo-Haeng
    • ETRI Journal
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    • 제31권4호
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    • pp.429-437
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    • 2009
  • This paper proposes a novel technique for 3D scene relighting with interactive viewpoint changes. The proposed technique is based on a deep framebuffer framework for fast relighting computation which adopts image-based techniques to provide arbitrary view-changing. In the preprocessing stage, the shading parameters required for the surface shaders, such as surface color, normal, depth, ambient/diffuse/specular coefficients, and roughness, are cached into multiple deep framebuffers generated by several caching cameras which are created in an automatic manner. When the user designs the lighting setup, the relighting renderer builds a map to connect a screen pixel for the current rendering camera to the corresponding deep framebuffer pixel and then computes illumination at each pixel with the cache values taken from the deep framebuffers. All the relighting computations except the deep framebuffer pre-computation are carried out at interactive rates by the GPU.

Text Mining and Sentiment Analysis for Predicting Box Office Success

  • Kim, Yoosin;Kang, Mingon;Jeong, Seung Ryul
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권8호
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    • pp.4090-4102
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    • 2018
  • After emerging online communications, text mining and sentiment analysis has been frequently applied into analyzing electronic word-of-mouth. This study aims to develop a domain-specific lexicon of sentiment analysis to predict box office success in Korea film market and validate the feasibility of the lexicon. Natural language processing, a machine learning algorithm, and a lexicon-based sentiment classification method are employed. To create a movie domain sentiment lexicon, 233,631 reviews of 147 movies with popularity ratings is collected by a XML crawling package in R program. We accomplished 81.69% accuracy in sentiment classification by the Korean sentiment dictionary including 706 negative words and 617 positive words. The result showed a stronger positive relationship with box office success and consumers' sentiment as well as a significant positive effect in the linear regression for the predicting model. In addition, it reveals emotion in the user-generated content can be a more accurate clue to predict business success.

A Survey of Arabic Thematic Sentiment Analysis Based on Topic Modeling

  • Basabain, Seham
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.155-162
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    • 2021
  • The expansion of the world wide web has led to a huge amount of user generated content over different forums and social media platforms, these rich data resources offer the opportunity to reflect, and track changing public sentiments and help to develop proactive reactions strategies for decision and policy makers. Analysis of public emotions and opinions towards events and sentimental trends can help to address unforeseen areas of public concerns. The need of developing systems to analyze these sentiments and the topics behind them has emerged tremendously. While most existing works reported in the literature have been carried out in English, this paper, in contrast, aims to review recent research works in Arabic language in the field of thematic sentiment analysis and which techniques they have utilized to accomplish this task. The findings show that the prevailing techniques in Arabic topic-based sentiment analysis are based on traditional approaches and machine learning methods. In addition, it has been found that considerably limited recent studies have utilized deep learning approaches to build high performance models.

Social Media Marketing Strategy

  • Nam, Jeongjung;Kang, Min Jung
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권1호
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    • pp.219-223
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    • 2022
  • The Internet can deliver various information and services at the lowest cost without time and space constraints while targeting the world among all existing means of communication. Unlike traditional media such as TV, newspapers, and radio in the past, promotions through mobile environments allow target customers to use two-way low-cost, high-efficiency promotional strategies regardless of time and place. With the development of the Internet, social media has developed into a place to acquire information about favorite companies and their products. Social media greatly contributes to the production of text, photos, videos, and various networks, and has expanded global communication and communication media through the interaction and sharing of various information. In addition, through social media, users can communicate in various ways, reveal themselves, and share and exchange information such as knowledge and personal thoughts. In line with these changes, corporate marketers and sellers are striving to provide consumers with appropriate information more quickly. We aims to find out about social media marketing strategies useful for companies.

A Study on the Effective Marketing Implementation through Face Recognition Technology in Smart Digital Signage

  • Cha, jin-gil;Kim, Seong-Kweon
    • International journal of advanced smart convergence
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    • 제11권3호
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    • pp.72-78
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    • 2022
  • The aim of this research is to improve the effectiveness of digital media advertising because current advertisements -in digital signage - indiscriminately appeals to the general public rather than to a specific target. In order to deliver efficient and customized advertisement information, an IoT human body detection sensor mounted on digital signage detected human faces and then classified them firstly by gender. The digital signage here is a smart digital signage that can analyze facial signals, discriminate them based on patterns, and apply the extracted data by displaying the corresponding information to the user. In addition, by identifying the customer's location approaching the smart digital signage and displaying the optimized content information for the customer's location through an algorithm, the digital signage can dramatize the advertisement Thus, this is a study meant forimproving information efficiency while reducing noise and driving power waste generated from unnecessary digital information reproduction.

창의적인 UCC 제작에 영향을 미치는 동기 및 보상 체계에 대한 연구: 몰입에 매개 효과를 중심으로 (An Empirical Study on Motivation Factors and Reward Structure for User's Createve Contents Generation: Focusing on the Mediating Effect of Commitment)

  • 김진우;양승화;임성택;이인성
    • Asia pacific journal of information systems
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    • 제20권1호
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    • pp.141-170
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    • 2010
  • User created content (UCC) is created and shared by common users on line. From the user's perspective, the increase of UCCs has led to an expansion of alternative means of communications, while from the business perspective UCCs have formed an environment in which an abundant amount of new contents can be produced. Despite outward quantitative growth, however, many aspects of UCCs do not meet the expectations of general users in terms of quality, and this can be observed through pirated contents and user-copied contents. The purpose of this research is to investigate effective methods for fostering production of creative user-generated content. This study proposes two core elements, namely, reward and motivation, which are believed to enhance content creativity as well as the mediating factor and users' committement, which will be effective for bridging the increasing motivation and content creativity. Based on this perspective, this research takes an in-depth look at issues related to constructing the dimensions of reward and motivation in UCC services for creative content product, which are identified in three phases. First, three dimensions of rewards have been proposed: task dimension, social dimension, and organizational dimention. The task dimension rewards are related to the inherent characteristics of a task such as writing blog articles and pasting photos. Four concrete ways of providing task-related rewards in UCC environments are suggested in this study, which include skill variety, task significance, task identity, and autonomy. The social dimensioni rewards are related to the connected relationships among users. The organizational dimension consists of monetary payoff and recognition from others. Second, the two types of motivations are suggested to be affected by the diverse rewards schemes: intrinsic motivation and extrinsic motivation. Intrinsic motivation occurs when people create new UCC contents for its' own sake, whereas extrinsic motivation occurs when people create new contents for other purposes such as fame and money. Third, commitments are suggested to work as important mediating variables between motivation and content creativity. We believe commitments are especially important in online environments because they have been found to exert stronger impacts on the Internet users than other relevant factors do. Two types of commitments are suggested in this study: emotional commitment and continuity commitment. Finally, content creativity is proposed as the final dependent variable in this study. We provide a systematic method to measure the creativity of UCC content based on the prior studies in creativity measurement. The method includes expert evaluation of blog pages posted by the Internet users. In order to test the theoretical model of our study, 133 active blog users were recruited to participate in a group discussion as well as a survey. They were asked to fill out a questionnaire on their commitment, motivation and rewards of creating UCC contents. At the same time, their creativity was measured by independent experts using Torrance Tests of Creative Thinking. Finally, two independent users visited the study participants' blog pages and evaluated their content creativity using the Creative Products Semantic Scale. All the data were compiled and analyzed through structural equation modeling. We first conducted a confirmatory factor analysis to validate the measurement model of our research. It was found that measures used in our study satisfied the requirement of reliability, convergent validity as well as discriminant validity. Given the fact that our measurement model is valid and reliable, we proceeded to conduct a structural model analysis. The results indicated that all the variables in our model had higher than necessary explanatory powers in terms of R-square values. The study results identified several important reward shemes. First of all, skill variety, task importance, task identity, and automony were all found to have significant influences on the intrinsic motivation of creating UCC contents. Also, the relationship with other users was found to have strong influences upon both intrinsic and extrinsic motivation. Finally, the opportunity to get recognition for their UCC work was found to have a significant impact on the extrinsic motivation of UCC users. However, different from our expectation, monetary compensation was found not to have a significant impact on the extrinsic motivation. It was also found that commitment was an important mediating factor in UCC environment between motivation and content creativity. A more fully mediating model was found to have the highest explanation power compared to no-mediation or partially mediated models. This paper ends with implications of the study results. First, from the theoretical perspective this study proposes and empirically validates the commitment as an important mediating factor between motivation and content creativity. This result reflects the characteristics of online environment in which the UCC creation activities occur voluntarily. Second, from the practical perspective this study proposes several concrete reward factors that are germane to the UCC environment, and their effectiveness to the content creativity is estimated. In addition to the quantitive results of relative importance of the reward factrs, this study also proposes concrete ways to provide the rewards in the UCC environment based on the FGI data that are collected after our participants finish asnwering survey questions. Finally, from the methodological perspective, this study suggests and implements a way to measure the UCC content creativity independently from the content generators' creativity, which can be used later by future research on UCC creativity. In sum, this study proposes and validates important reward features and their relations to the motivation, commitment, and the content creativity in UCC environment, which is believed to be one of the most important factors for the success of UCC and Web 2.0. As such, this study can provide significant theoretical as well as practical bases for fostering creativity in UCC contents.

몰입형 e-Book 제작을 위한 DirectX기반 입체 영상 저작도구 개발 (Development of DirectX-based Stereoscopic Image Authoring Tool for Immersive e-Book Production)

  • 이근형;박진우;김진모
    • 디지털콘텐츠학회 논문지
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    • 제17권1호
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    • pp.23-31
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    • 2016
  • 본 논문은 3차원 환경에서 사용자의 몰입감을 높여주는 e-Book 콘텐츠를 효과적으로 제작하기 위한 입체 영상 저작도구를 개발한다. 제안하는 저작도구는 3차원 객체 편집, 입체 영상 그리고 영상 미디어 제작의 3가지 핵심 시스템으로 구성된다. 우선 객체 편집 시스템은 3차원 가상공간을 구성하는 다양한 객체들을 콘텐츠의 목적에 맞게 배치, 제작한다. 이때 상용 그래픽 저작도구를 활용하여 제작된 외부 모델들을 포함할 수 있는 효율적인 데이터 구조를 설계한다. 여기에 객체의 재질, 텍스쳐 등을 사용자가 원하는 형태로 수정, 편집이 가능하도록 한다. 그리고 셍성된 가상 장면을 입체 영상으로 제작하기 위한 입체 영상 시스템을 구현한다. 본 연구는 애너그리프 방법을 사용하여 사용자가 보다 쉽게 입체 영상 장면을 구현하고 사용할 수 있도록 한다. 이는 양안 카메라의 색상 변경 및 입체감 조절 기능 등을 포함한다. 마지막으로 제작된 입체 영상을 e-Book 콘텐츠에 효과적으로 활용 가능하도록 단일 영상 또는 동영상으로 제작하여 활용할 수 있는 영상 미디어 제작 시스템을 구현한다.

가상현실 주거공간을 위한 사용자경험 평가 방법 (The Method of User Experience Evaluation for Virtual Living Space)

  • 김미선;백희원;서혜란;고일주
    • 예술인문사회 융합 멀티미디어 논문지
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    • 제7권12호
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    • pp.795-806
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    • 2017
  • 본 논문은 가상현실 주거공간 콘텐츠를 대상으로 하는 사용자경험 평가 방법을 제안한다. 그리고 프로토타입으로 제작한 시뮬레이션에 제안한 사용자경험 평가 요인을 적용하여 사용자경험을 측정한다. 본 논문에서 제안한 사용자평가 방법론은 기존 사용자평가 방법론에 기반하되, 가상현실 주거공간의 특성에 맞도록 사용 경험과 평가 요인을 변경하여 수립하였다. 프로토타입으로 제작한 가상현실 주거공간 시뮬레이션은 실제 사용자가 현실감을 느낄 수 있도록 실제 공간과 유사하게 구성하였고, 사용자들이 현실에서 사용하는 오브젝트들을 각 공간에 배치하였다. 실험 대상자들은 주어진 시나리오대로 작업을 수행한 뒤, 시뮬레이션 평가를 수행하였다. 평가 결과 시뮬레이션의 주요 목표인 사용자에게 현실감을 느끼게 하는 항목이 예상보다 낮게 나타났다. 이는 추후 시뮬레이션은 현실감을 높이는 요소의 추가하거나 확장하는 방식으로 수정 방향을 설정해야 함을 의미한다. 이렇게 본 논문에서 제안한 UX평가 방법은 콘텐츠 개발자 또는 디자이너에게 가상현실 주거공간에서 사용자의 요구를 파악할 수 있는, 보다 객관적인 지표를 제공할 수 있을 것으로 기대한다.

연관 아이템 트리를 이용한 추천 에이전트 (A Recommender Agent using Association Item Trees)

  • 고수정
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제36권4호
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    • pp.298-305
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    • 2009
  • 협력적 여과 시스템은 내용 기반 여과 시스템과는 대조적으로 아이템에 대한 정보를 반영하지 않으며, 또한 사용자가 자신의 흥미에 대한 정보를 제공하지 않았을 경우 추천을 할 수 없다는 단점을 갖는다. 본 논문에서는 협력적 여과 시스템의 단점을 해결하기 위하여 연관 아이템 트리를 이용한 추천 에이전트를 제안한다. 제안된 방법은 벡터 공간 모델과 K-means 알고리즘을 이용하여 사용자를 군집시킨 후 그룹의 대표 평가값을 추출한다. 다음으로, 군집된 그룹별로 아이템간의 상호정보량을 계산하여 아이템간의 연관도를 파악하며, 이를 기반으로 연관 아이템 트리를 생성한다. 이와 같이 생성한 각 그룹의 연관 아이템 트리와 그룹의 대표 평가값을 이용하여 새로운 사용자에게 아이템을 추천한다. 제안된 추천 에이전트는 사용자 정보와 아이템 정보를 병합하여 새로운 사용자에게 아이템을 추천하며, 아이템간의 유사도를 계산하기 위하여 상호정보량을 사용하고 이를 기반으로 연관 아이템 트리를 생성함으로써 초기에 아이템에 대하여 평가한 정보가 부족한 사용자에게 정확도가 높은 아이템을 추천할 수 있다는 장점을 갖는다. 제안된 방법은 MovieLens 추천 시스템의 데이터 집합을 사용하여 기존의 방법과 비교하였다.