• Title/Summary/Keyword: User Reviews

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A Comparative Study on Archives Management System in North America (북미지역 기록관리체제에 관한 비교 연구)

  • Noh, Kyung-Ran;Park, Hee-Young
    • Journal of Korean Society of Archives and Records Management
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    • v.4 no.2
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    • pp.164-191
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    • 2004
  • Archives managements practices and laws are different according to various histories and traditions of nations. And it depends on a various of specific conditions of each nation. This paper reviews each laws, regulations, and organization concerned with archives managements of America and Canada that lead in archives managements, although they have relatively short histories. And this paper reviews acquisitions, classification and cataloging, and user access of archives in central archives management institutions. Finally, it reviews education system and professional positions of archivists in America and Canada.

A Study of Factors Influencing Helpfulness of Game Reviews: Analyzing STEAM Game Review Data (게임 유용성 평가에 미치는 요인에 관한 연구: 스팀(STEAM) 게임 리뷰데이터 분석)

  • Kang, Ha-Na;Yong, Hye-Ryeon;Hwang, Hyun-Seok
    • Journal of Korea Game Society
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    • v.17 no.3
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    • pp.33-44
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    • 2017
  • With the development of the Internet environment, various types of online reviews are being generated and exchanged among consumers to share their opinions. In line with this trend, companies are making efforts to analyze online reviews and use the results in various business activities such as marketing, sales, and product development. However, research on online review in industry related to 'Video Game' which is representative experience goods has not been performed enough. Therefore, this study analyzed STEAM community review data using machine learning techniques. We analyzed the factors affecting the opinion of other users' game review. We also propose managerial implications to incease user loyalty and usability.

Google Play Malware Detection based on Search Rank Fraud Approach

  • Fareena, N;Yogesh, C;Selvakumar, K;Sai Ramesh, L
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.11
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    • pp.3723-3737
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    • 2022
  • Google Play is one of the largest Android phone app markets and it contains both free and paid apps. It provides a variety of categories for every target user who has different needs and purposes. The customer's rate every product based on their experience of apps and based on the average rating the position of an app in these arch varies. Fraudulent behaviors emerge in those apps which incorporate search rank maltreatment and malware proliferation. To distinguish the fraudulent behavior, a novel framework is structured that finds and uses follows left behind by fraudsters, to identify both malware and applications exposed to the search rank fraud method. This strategy correlates survey exercises and remarkably joins identified review relations with semantic and behavioral signals produced from Google Play application information, to distinguish dubious applications. The proposed model accomplishes 90% precision in grouping gathered informational indexes of malware, fakes, and authentic apps. It finds many fraudulent applications that right now avoid Google Bouncers recognition technology. It also helped the discovery of fake reviews using the reviewer relationship amount of reviews which are forced as positive reviews for each reviewed Google play the android app.

A Study on the Development of User Satisfaction Indicators for Public Library Evaluation (공공도서관 평가를 위한 이용자 만족도 지표 개발에 관한 연구)

  • Pyo, Soon-Hee;Cha, Sung-Jong
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.2
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    • pp.329-350
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    • 2009
  • The purpose of this study is to develop the indicators of user satisfaction for Korean public library evaluation. This is an attempt to overcome the inequality of indicators, which mainly consist of inputs and outputs. User satisfaction indicators are constructed through literature reviews and the prepared indicators are tested through a user survey of public libraries. Notably, the test is focused on the applicability of indicators for public libraries with a variety characteristics such as scale and operation organization. Based on the analysis of the results, this study suggests a total of 10 indicators.

A Study on the Effective Management and User Services for Electronic Journals in University Libraries (전자저널의 효과적인 관리 및 이용자서비스에 관한 연구: 대학도서관을 중심으로)

  • Lee, Lan-Ju;Hwang, Shin-Hye
    • Journal of the Korean Society for information Management
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    • v.20 no.2
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    • pp.135-156
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    • 2003
  • The purpose of this study was to provide suggestions for the effective management and user services of electronic journals in university libraries. In order to do that literature reviews, case studies, and survey questionnaires were conducted. The case studies involved six university libraries, which were analyzed based on accessing, cataloging and user services. Questionnaires consisting of forty-seven items in eight parts, including selection and subscription of electronic journals were distributed to the libratians who were in charge of managing electronic journals. Following an analysis on the survey, guidelines for effective management and user services of electronic journals were suggested.

A Study on the Influence of C4I System Quality on Operational Performance : Role of Perceived Usefulness and User Satisfaction (전장관리정보시스템 품질이 운영성과에 미치는 영향에 관한 연구 : 지각된 유용성 및 사용자 만족의 역할)

  • Jeong, Young Sin;Park, Jong Woo;Jo, Dong Hyuk
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.2
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    • pp.261-271
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    • 2016
  • The need and interest for a successful operation of Information System in the defense industry have increased due to a rapid development in ICT. However, research on adderssing such increased demand has been minimal. This paper introduces a Success Model for IS in the defense field based on literature reviews, and proves the performance of the proposed model. The verification results show that the quality factors of IS have positive influence on perceived usefulness and user satisfaction. The results, as well, imply that perceived usefulness and user satisfaction improves the operational performance of IS. Therefore, this study proves that quality factors of IS increase the operational performance through perceived usefulness and user satisfaction. Through this research, the patterns of information utilization in the defense IS is understood, and the directions for improving the operational performance of IS is presented.

Producdt Recommendation System based on User Purchase Priority (사용자 구매 우선순위를 반영한 상품 추천 시스템)

  • Hwang, Doyeun;Kim, Jihan;Kim, Jongwan;Kim, Hankil;Jung, Hoekyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.502-503
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    • 2019
  • In the existing system that recommends through review data analysis, it does not reflect personal preference details such as user's characteristics or product purchase tastes, in this paper, we propose a system that provides customized recommendation information to various users by selecting the criterion that the user thinks most importantly when searching for the product and purchasing the product, and analyzing it. This is because the user's personal preference is reflected by arranging the product list based on the criterion that the user occupies the largest portion of the product purchase, so that it is more efficient than the recommendation through the recommendation system.

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A Review of Web Cache Prefetching

  • Deng, YuFeng;Manoharan, Sathiamoorthy
    • Journal of information and communication convergence engineering
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    • v.12 no.3
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    • pp.161-167
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    • 2014
  • Web caches help to reduce latencies arising from slow networks through storing and reusing what was used before. Repeat access to a cached resource does not incur network latencies. However, resources that have never been used will not be found in the cache. Cache prefetching is a technique that helps to fill a cache with still-unused resources in anticipation that these resources will be used in the near future. Typically these unused resources are related to the resources that have been accessed in the recent past. While web caching exploits temporal locality, prefetching attempts to exploit spatial locality. Access to the prefetched resources will be cache hits, and therefore reduces the latency as perceived by the user. This paper reviews the cache infrastructure supported by the hypertext transfer protocol and discusses web cache prefetching in general, including Mozilla's prefetching infrastructure. It then classifies and reviews some prefetching techniques.

A Study on the Factors Influencing Mobile Service Usage (모바일 서비스 사용의 영향 요인에 관한 연구)

  • Moon Hyun-Pil;Ok Seok-Jae
    • The Journal of Information Systems
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    • v.14 no.2
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    • pp.133-154
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    • 2005
  • The objective of this study is to find the factors influencing the use of mobile service. We extracted critical study variables according to literature reviews about adoption of information systems, those under the internet environment and mobile internet adoption for theoretical foundation. TAM suggested by Davis(1985) has explained the acceptance mechanism with the following constructs: perceived usefulness, perceived ease of use, attitude toward use, behavioral intention and actual usage. After studying prior literature reviews, this study investigated the group of people using mobile services. The result of study claims that it has same results with previous TAM, especially between personal innovativeness and attitude toward use have strong statistical relations. On the other hand, there haven't been any statistical relations between perceived ease of use and perceived usefulness and between perceived usefulness and behavioral intention, either. In conclusion, use of mobile service can be promoted by developing various kinds of mobile service, designing device and interface to use mobile service more convenience and familiar, stimulating user's innovative characters and recognizing mobile service more useful in real life.

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Sentiment Analysis on Movie Reviews Using Word Embedding and CNN (워드 임베딩과 CNN을 사용하여 영화 리뷰에 대한 감성 분석)

  • Ju, Myeonggil;Youn, Seongwook
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.15 no.1
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    • pp.87-97
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    • 2019
  • Reaction of people is importantly considered about specific case as a social network service grows. In the previous research on analysis of social network service, they predicted tendency of interesting topic by giving scores to sentences written by user. Based on previous study we proceeded research of sentiment analysis for social network service's sentences, which predict the result as positive or negative for movie reviews. In this study, we used movie review to get high accuracy. We classify the movie review into positive or negative based on the score for learning. Also, we performed embedding and morpheme analysis on movie review. We could predict learning result as positive or negative with a number 0 and 1 by applying the model based on learning result to social network service. Experimental result show accuracy of about 80% in predicting sentence as positive or negative.