• Title/Summary/Keyword: User preference evaluation

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A Study on the Collection Use of an Academic Library: Focused on the Analysis of Circulation Statistics of the A-Academic Library Users (대학도서관의 자료 이용에 관한 연구 - A대학도서관 이용자의 대출통계 분석을 중심으로 -)

  • Kim, Sun-Ae
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.4
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    • pp.115-131
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    • 2013
  • The goal of this study is to analyze use patterns of library collections using circulation statistics of academic library user's. For this purpose, the 264,804 circulation-related data of A-academic library which were occurred between March 2012 and February 2013 were collected and used. Five patterns of common user group (undergraduate, graduate students, professors, staffs, the others users) are identified for this study. Gross circulation statistics was analyzed and compared for different users groups and for different subjects. And based on these analysis results, author understood degree of collection use by subject, degree of collection use by user groups, latest materials preference in collection use by subject, latest materials preference in collection use by user groups.

Ergonomic Study of Manual Hammering Tasks for Short Times (단시간 수동망치작업의 인간공학적 연구)

  • Kwon, Young-Guk
    • Journal of the Korean Society of Safety
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    • v.18 no.4
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    • pp.143-147
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    • 2003
  • The present investigation examined hammering performance, physiological response, preceived exertion, and user preference with regard to hammering in vertical (wall) and horizontal (bench) orientations, and with regard to using two different hammers. Ten male subjects participated in the experiment. The results support previous findings that horizontally oriented hammering is faster than vertically oriented hammering. In addition, the results suggest that hammer differences can affect hammering performance and perceived exertion; although, the exact contributions of specific design characteristics could not be quantitatively determined. However, participants subjectively identified handle design, weight, and mass distribution as critical factors.

A Study on the Post Evaluation for University Public Space Renovation based on Analysis of Students' preference (대학생 선호도 분석 기반 대학 공용공간 리노베이션의 사후평가에 관한 연구)

  • Choi, Ho-Soon
    • Journal of the Korean Institute of Educational Facilities
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    • v.27 no.3
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    • pp.15-23
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    • 2020
  • Nowadays, many educational facilities are being renovated. However, due to the absence of a system for post renovation of educational spaces, users are less satisfied with the spaces after the renovation and there is a limit in establishing future directions for improving educational space renovation. From this point of view, this study was conducted to increase the users' satisfaction in renovation space planning of educational spaces and to establish a system for management after renovation. As a specific research method, the space preference of students was used to evaluate the space after renovation. By researching the opinions of the students who use the most educational space, not only the direction of the renovation plan of the future educational space can be given but also the user's opinion can be reflected in the spatial plan in detail. In terms of management of future educational spaces, this study can be used as a basic study for developing post evaluation indicators for renovation of educational facilities.

Targeting Data Service for Web-Based Media Contents (웹 기반 미디어 콘텐츠를 위한 맞춤형 데이터 서비스)

  • Park, Sung-Joo;Chung, Kwang-Sue
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.12
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    • pp.1154-1164
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    • 2010
  • As an useful application in broadcasting services, the targeting service has been mainly studied to improve the service satisfaction and user usage in various media service environments based on user profile, preferences, and usage history. Targeting service is expanding its domain from broadcasting contents to interstitial contents and from fixed TV devices to mobile devices. Service data also include advertisement data, coupon, and information about media contents as well as simple broadcasting data. In this paper, the targeting data service is designed and implemented on articles, advertisement and broadcasting information on the basis of the user information. To adapt this to web-based media contents, information on user profile, preferences, and usage history is newly defined on the basis of the user metadata developed in TV-Anytime Forum and the user information defined in OpenSocial. The targeting data service is implemented to generate user preferences information and usage history pattern based on the similarity among user preference, contents information, and usage history. Based on performance evaluation, we prove that the proposed targeting data service is effectively applicable to web-based media contents as well as broadcasting service.

Dynamic Cloud Resource Reservation Model Based on Trust

  • Qiang, Jiao-Hong;Ning, Ding-Wan;Feng, Tian-Jun;Ping, Li-Wei
    • Journal of Information Processing Systems
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    • v.14 no.2
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    • pp.377-395
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    • 2018
  • Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users' reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

Research on Airport Public Art Design Elements and Preferences Based on Big Data Sentiment Analysis (빅데이터 감성분석에 따른 공항 공공예술 디자인 요소 및 선호도 연구)

  • Zhang, Yun;Zou, ChangYun;Kim, CheeYong
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1499-1511
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    • 2022
  • In the context of globalization, circulation between cities has become more frequent. The airport is no longer just a place for boarding, disembarking, and transportation, but a public place that serves as the communication function of the "aviation city". The intervention of public art in the airport space not only gives users a sense of space experience, but also becomes a unique carrier for city and country image shaping. The purpose of this paper is to study the emotional value brought by airport public art to users, and to investigate the correlation analysis of public art design elements and user preferences based on this premise. The research methods are machine learning method and SPSS 21.0. The user's emotional value is introduced in the big data evaluation, and the preference and inclination of airport users to various elements of public art are analyzed by questionnaire. Through the research conclusion, the preference and main contradiction of users in the airport for the four dimensions of public art design elements are obtained. Opinions and optimization methods to provide reference data and theoretical support for public art design.

Multimodal Media Content Classification using Keyword Weighting for Recommendation (추천을 위한 키워드 가중치를 이용한 멀티모달 미디어 콘텐츠 분류)

  • Kang, Ji-Soo;Baek, Ji-Won;Chung, Kyungyong
    • Journal of Convergence for Information Technology
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    • v.9 no.5
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    • pp.1-6
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    • 2019
  • As the mobile market expands, a variety of platforms are available to provide multimodal media content. Multimodal media content contains heterogeneous data, accordingly, user requires much time and effort to select preferred content. Therefore, in this paper we propose multimodal media content classification using keyword weighting for recommendation. The proposed method extracts keyword that best represent contents through keyword weighting in text data of multimodal media contents. Based on the extracted data, genre class with subclass are generated and classify appropriate multimodal media contents. In addition, the user's preference evaluation is performed for personalized recommendation, and multimodal content is recommended based on the result of the user's content preference analysis. The performance evaluation verifies that it is superiority of recommendation results through the accuracy and satisfaction. The recommendation accuracy is 74.62% and the satisfaction rate is 69.1%, because it is recommended considering the user's favorite the keyword as well as the genre.

A Study on Space and Furniture Preference in One-room Type Residence Considering Personality Type (성격유형에 따른 원룸형 주거의 공간구성 및 가구 선호도에 관한 연구)

  • Lee, Jonghee;Kim, Hwikyung
    • Journal of the Korea Furniture Society
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    • v.27 no.3
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    • pp.226-236
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    • 2016
  • Single-person household is estimated to be about 26.5% of the total household in 2015, which counts as 5060000 in numbers. We opt to acknowledge the various requests of these single residents, and in order to raise their satisfaction, we investigated on how personal taste, psychological interest, and personality attribute affects the user's preference of space organization and furniture in one room housing. Using the qualified psychology program, Enneagram Personality Type Indicator, we surveyed young people under 30 years old (majority of single-person households), regarding space organization and furniture preference. With the help of a specialist, the survey was constructed with appropriate evaluation items (space organization in one room households, bed, sofa, furniture material, etc), and analyzed the relationship between the evaluated items and personality types. Results showed there is a relationship between personality types and spatial structure. First, preference of spatial structure differed for different personality types. Second, the shape and size of furniture was dependent more on the ease of usability and design rather than on the personality types. One thing to consider is that type 1 and 9 accounted for about 50% of the total surveys. This emphasizes that the preferred spatial structure of a dominant specific personality type should not be overlooked.

A 3D visualization method for mobile interface based on user's menu preference (사용자 메뉴 선호도 기반 모바일 인터페이스 3D 시각화 기법)

  • Yu, Seok-Jong
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.7
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    • pp.49-55
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    • 2010
  • The analysis of menu preference by different users is one of the important issues in mobile interface design. Current mobile phones do not provide any functionalities to customize the user interface based on use history after they are released by manufacturers or mobile carriers. Though a number of functions are loaded into mobile devices, all the menus are uniformly presented to users regardless of menu preference, and it becomes a reason to decrease the usability of mobile interface. To improve this limitation, this paper suggests how to apply 3D visualization methods to mobile interface, depending on menu use history. In addition, for performance evaluation, 3D mobile interface system was implemented using 3D visualization methods such as depth, transparency, and animation. Finally, experiments for performance evaluation were performed in order to measure and compare menu search times.

A Study on Information Exploration Characteristic and Relative Importance Evaluation of Island Tourism Web Site (수산해양관광 관련 웹사이트의 정보탐색 특성과 상대적 중요도 평가에 대한 연구)

  • Lee, Dong-Ho
    • The Journal of Fisheries Business Administration
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    • v.41 no.2
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    • pp.81-106
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    • 2010
  • This study examines the information exploration characteristic and relative importance evaluation of island tourism web site. The survey items are developed based on the related studies and also implemented particular way so-called 'semi-online' that including both web based material and offline tutorial. The first objective of this study is verifying the characteristics of information exploration on island tourism of university students. The second is examining the peculiar properties of tourism information that exposed one's individual importance evaluation. The result of this study shows that most of the students have no difficulty in using the internet and exploring the island tourism information. And there is no significant difference in using and exploring the internet between male and female students. Based on the result of this study, most popular type of island tourism information is picture type. Personal blog or user created contents(UCC) that containing the other's experience of island tourism is mostly wanted contents. But there is a significant difference in importance of contents within the students. The community based information which including UCC, blog, and other community user's posting is evaluated the most important information for relatively less experienced students. On the other hand more experienced students have a preference on expertise information which created by tourism experts. The difference within the determinant factors that affecting island tourism also significant. With analysis of variance(ANOVA) on determinant factors, the tourism activity and social/culture resource are less important than others(eg. natural environment, accommodation and so on). The result of this study would be practically used for implementing the local government's effective tourism web site and enhancing the current island tourism operation. And also it gives a advantage to facilitate the island tourism for young generations.