• Title/Summary/Keyword: 앱 추천

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Developing Library Tour Course Recommendation Model based on a Traveler Persona: Focused on facilities and routes for library trips in J City (여행자 페르소나 기반 도서관 여행 코스 추천 모델 개발 - J시 도서관 여행을 위한 시설 및 동선 중심으로 -)

  • Suhyeon Lee;Hyunsoo Kim;Jiwon Baek;Hyo-Jung Oh
    • Journal of Korean Library and Information Science Society
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    • v.54 no.2
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    • pp.23-42
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    • 2023
  • The library tour program is a new type of cultural program that was first introduced and operated by J City, and library tourists travel to specialized libraries in the city according to a set course and experience various experiences. This study aims to build a customized course recommendation model that considers the characteristics of individual participants in addition to the existing fixed group travel format so that more users can enjoy the opportunity to participate in library tours. To this end, the characteristics of library travelers were categorized to establish traveler personas, and library evaluation items and evaluation criteria were established accordingly. We selected 22 libraries targeted by the library travel program and measured library data through actual visits. Based on the collected data, we derived the characteristics of suitable libraries and developed a persona-based library tour course recommendation model using a decision tree algorithm. To demonstrate the feasibility of the proposed recommendation model, we build a mobile application mockup, and conducted user evaluations with actual library users to identify satisfaction and improvements to the developed model.

The Effectiveness of Service Characteristics of Car Sharing on User Evaluation and Net Benefit (카 쉐어링 서비스 특성이 사용자 평가와 순 편익에 미치는 영향)

  • Sohn, Bongjin;Choi, Jaewon;Kwon, Hyuk-Jun
    • The Journal of Society for e-Business Studies
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    • v.23 no.2
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    • pp.1-20
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    • 2018
  • Car Sharing Service is provided with sharing the vehicleas you can use it anywhere and anytime. The paper verified the factors impact between providing infrastructure characteristics such as scarcity, system quality and service quality and user evaluation factors based on DeLone & McLean IS Success Model. User evaluation factors have an influence on net benefit. D&M IS model mainly proved inner organization impact. The research collected experienced car sharing service, we analyzed the 224 respondents. The result of the hypothesis follows. The scarcity of time is negatively related to perceived social support and app trust. Provisional coupon is positively related to perceived social support and app trust. But, scarcity of quantity is not related to user evaluation factors. Most of the system qualities are related to app trust, however, privacy concern isn't related to app trust. the paper's demographic characteristic is lack of experience frequency. User evaluation factors that are perceived social support and app trust are positively related to user satisfaction and WoM intention. User satisfaction is individual impact and WoM intention is organization impact. Two factors are the net benefit in car sharing service. The area of sharing economy should more study about correlation among experimental various factors. Thus, the paper has different significant from antecedent research. because of trying to experimental analysis.

Analysis of SNS(Social Networking Service) functions applicable to electronic commerce for building regular relationship with customers (전자상거래에서 단골관계 형성을 위한 SNS의 기능 분석 및 활용)

  • Gim, Mi-Su;Woo, Won-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.4
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    • pp.131-138
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    • 2015
  • One of the most conspicuous characteristics of a business model that pursues expanding customer relationship is that it tries to lock in customers by encouraging them to repeat purchase in the long-term with the help of "Follow" function in Social Networking Service (SNS), which enables producers to automatically register the customers as potentially important ones and to offer them customized marketing services. In the value chain of the agriculture sector, producers of agricultural products can use SNS functions to provide loyal customers with valuable information and experiences such as the real-time information of their farm and products, hidden stories about the whole process from seeding to harvesting, and the storage and cooking methods of their products. These activities help the producers invoke customers' desire to live in the farm and to grow the products themselves. They also raise the accessibility of the producers' websites as customers are able to share a variety of news and knowledge such as the release of new products. This means that the producers's websites are now functioning to enable the producers to perform sales and promotion related activities. It is a big leap from the traditional e-commerce business model where sales and promotion of a product were separated and could be connected only through outside links. This two-way, viral characteristics of marketing services using SNS facilitate customers to share product information and their purchase experience with each other, which leads to more effective and efficient communication within the customer community.

Subway Congestion Prediction and Recommendation System using Big Data Analysis (빅데이터 분석을 이용한 지하철 혼잡도 예측 및 추천시스템)

  • Kim, Jin-su
    • Journal of Digital Convergence
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    • v.14 no.11
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    • pp.289-295
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    • 2016
  • Subway is a future-oriented means of transportation that can be safely and quickly mass transport many passengers than buses and taxis. Congestion growth due to the increase of the metro users is one of the factors that hinder citizens' rights to comfortably use the subway. Accordingly, congestion prediction in the subway is one of the ways to maximize the use of passenger convenience and comfort. In this paper, we monitor the level of congestion in real time via the existing congestion on the metro using multiple regression analysis and big data processing, as well as their departure station and arrival station information More information about the transfer stations offer a personalized congestion prediction system. The accuracy of the predicted congestion shows about 81% accuracy, which is compared to the real congestion. In this paper, the proposed prediction and recommendation application will be a help to prediction of subway congestion and user convenience.

Brand Platformization and User Sentiment: A Text Mining Analysis of Nike Run Club with Comparative Insights from Adidas Runtastic (텍스트마이닝을 활용한 브랜드 플랫폼 사용자 감성 분석: 나이키 및 아디다스 러닝 앱 리뷰 비교분석을 중심으로)

  • Hanna Park;Yunho Maeng;Hyogun Kym
    • Knowledge Management Research
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    • v.25 no.1
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    • pp.43-66
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    • 2024
  • In an era where digital technology reshapes brand-consumer interactions, this study examines the influence of Nike's Run Club and Adidas' Runtastic apps on loyalty and advocacy. Analyzing 3,715 English reviews from January 2020 to October 2023 through text mining, and conducting a focused sentiment analysis on 155 'recommend' mentions, we explore the nuances of 'hot loyalty'. The findings reveal Nike as a 'companion' with an emphasis on emotional engagement, versus Runtastic's 'tool' focus on reliability. This underscores the varied consumer perceptions across similar platforms, highlighting the necessity for brands to integrate user preferences and address technical flaws to foster loyalty. Demonstrating how customized technology adaptations impact loyalty, this research offers crucial insights for digital brand strategy, suggesting a proactive approach in app development and management for brand loyalty enhancement

A Study on the Provision of Tourist Information Using a Mobile Application (모바일 앱을 활용한 관광정보 제공 연구)

  • Min, Jeongsik;Hong, Subin;An, Dasol;Jang, Woosun;Koo, Minjeong
    • The Journal of the Convergence on Culture Technology
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    • v.2 no.3
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    • pp.29-34
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    • 2016
  • This study is about developing an app that offers tourist information and it was made to search festivals, camping, and glamping regions near the area. Also, by providing cooking recipe, it was made to provide convenience at the tour site. While searching recommended regions, it offers help in searching accommodations and checking in and checking out process. If the service is expanded nation-wide from the Gyeonggido area that this study was applied to, it will be more convenient for users and if the service is expanded and coupled with local coupons, quality services will be provided.

Design and Implementation learning English words Smart-phone application for Elementary school students on Android platform by Focus on form (형태초점교수법 기반 초등학교 영어 단어 학습 스마트폰 어플리케이션 설계 및 구현)

  • Kim, Seung-Jun;Kim, Kap-Su
    • Journal of The Korean Association of Information Education
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    • v.16 no.2
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    • pp.223-231
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    • 2012
  • Recently, We need a change of our education, Owing to trend of smart phone, approaching Digital Natives. We need some Teaching-Learning method, materials, softwares which realize Student-centered, Customized education more than E-learning, U-learning. Thus, In demand of This, This study will suggest a creative idea that how to design and produce smart-phone application which refers to 800 English words in elementary school recommended The Ministry of Education, Science, and Technology in Android Platform.

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Study about Recommended Styling System of Android-based Shopping mall (안드로이드 기반 쇼핑몰의 추천코디 시스템 연구)

  • Lim, Yun-Taek;Kim, Da-Hye;Koo, Min-Jeong
    • The Journal of the Convergence on Culture Technology
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    • v.2 no.4
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    • pp.61-64
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    • 2016
  • As the number of smart phone user is increasing, the on-line shopping malls are actively taking part in mobile market, and accelerating the competition of mobile shopping market. This is a reflection of mobile shopping market growing as huge market. This thesis deals with the growth of mobile market and mobile shopping mall application regarding the clothings which occupy high ratio in mobile market. This study aims to improve customer satisfaction based on more specific customer information, and to increase the satisfaction of both company and customer by lowering the return rate.

Design and Development of Android Smartphone App for The Health Management of Sleep (수면 건강관리를 위한 안드로이드 스마트폰 앱 설계 및 개발)

  • Lee, Dong-Ik;Joe, Eok-Baek;Park, Geon-Hun;Kim, Jung-Min;Cha, Han-Hyeol;Lee, Hui-Jae;Lim, Yang-Won;Lim, Han-Kyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.532-534
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    • 2013
  • 스마트폰 앱은 다양한 목적을 가지고 개발되어 사용자에게 지식의 정보 제공뿐만 아니라 생활의 유용한 정보도 함께 제공해주고 있다. 본 논문에서는 스마트 기기의 자이로스코프 센서(Gyroscope Sensor), 마이크(Mike), 알람(Alarm) 등을 활용하여 수면건강 관리 앱을 설계 및 구현하였다. 사용자의 수면 데이터를 수집하여, 추천 수면시간을 제공 받고, 수면장애 여부 등을 판단할 수 있을 것으로 예상된다.

Investigating the Recommendation Intention of Customers on the Mobile App and KIOSK: Focused on the Mediating Effect of Untact Service Image (모바일 앱 및 키오스크 사용자의 추천의도에 관한 연구 ; 비대면서비스 이미지의 매개효과를 중심으로)

  • Park Jongsoon;Kim Chang-Sik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.2
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    • pp.177-186
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    • 2023
  • This study investigates customers' perceptions of untack services in the hospitality and foodservice industries based on the Technology Acceptance Model (TAM). The study first identifies Perceived Ease of Use, Perceived Usefulness, and Image as antecedents of customers' Behavioral Intention and Recommendation Intention. Second, the structural relationships among them are established and tested. The study adopts a self-administered survey method, uses SmartPLS 4.0, and applies a two-stage approach. After testing the reliability and validity of customers' 429 data on hospitality and foodservice, hypotheses were tested. The results showed that Perceived Ease of Use significantly affects Perceived Usefulness and Image. Perceived Usefulness significantly also affects Image and Behavioral Intention. The Image of untact services also significantly affects Behavioral Intention and Recommendation Intention. And Behavioral Intention significantly affects Recommendation Intention. Finally, the mediation effects are also all significant. The study's findings suggest that researchers and practitioners should consider the management of Image and Recommendation Intention in the untact service environment.