• Title/Summary/Keyword: Personalized Messaging

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Study on the Cost Savings and Maximize Marketing Effect to Efficiency of Enterprise Messaging Service (마케팅 효과 극대화 및 비용절감 효과성에 대한 기업용 메시징서비스 효율화 연구)

  • Jang, Mun-ik;Jeong, Jae-hun;Choi, Myeong-gil
    • Journal of Digital Convergence
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    • v.14 no.10
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    • pp.311-317
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    • 2016
  • In a smart commerce market, customers are seeking customized shopping services optimized for personal tastes and customized shopping experiences based on customers' tastes. Accordingly, individually customized services are needed more than anytime now. According to this demand, companies provide messaging services to the consumer, but do not include a personalized service for each individual. The purpose of this study is to combine the techniques of personalized services with messaging services and presents system construction plan and integrated model system for corporate messaging services and thereby possible are maximizing marketing effects and analyzing effects of cost savings. Applying the operation of the integrated model is proposed and message transmission scheme through effective personalization can be applied to personalized model using the personalized information according to customers' requirements. The integrated model of personalization on this study is expected to be highly effective when combined with the search service.

AR-based Message Annotation System for Personalized Assistance (개인화된 도움을 위한 증강현실기반 메시지 주석시스템)

  • Vinh, Nguyen Van;Jun, Hee-Sung
    • The KIPS Transactions:PartB
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    • v.16B no.6
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    • pp.435-442
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    • 2009
  • We propose an annotation system, which allows users moving on an environment to receive personalized messages that are generated by exploiting contextual information. In the system, the context is defined as an entity including user's identity, location and time. Identity of user is a key data to enable personal aspect of generated message. For sensing the context, the proposed system uses AR(augmented reality) technology. Markers are attached to real objects for tracking user's location. AR can provide an effective annotating method to enhance human's perception and interaction abilities. The received message can be a virtual post-it or three-dimensional virtual model of object overlaid onto the real-world view. Experimental results show that the proposed system works well in real-time with high performance and it can be used as a mobile service for personalized messaging.

PS based MMS system for personalized MMS service (고객 맞춤형 MMS 서비스를 위한 PS 기반의 BcN MMS 시스템)

  • Park, Sung-Cheol;Kang, Kyung-Mo;Kim, Sang-Hyun
    • 한국정보통신설비학회:학술대회논문집
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    • 2008.08a
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    • pp.121-124
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    • 2008
  • KT starts MMS(Multimedia Messaging System) service based on wired BcN(Broadband Convergence Network) telephone on August, 2008. BcN telephones have various service functions, and MMS service has been serviced for years. However, we should check KT MMS service system. KT MMS service is based on a PS(presence server), so KT MMS system sends a MMS message to the most convenience terminal for each receiver. Most other current MMS system send MMS message to a terminal which the sender set directly. However KT MMS system decides called party terminal based on the receiver's situation.

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Information-providing Application Based on Web Crawling (웹 크롤링을 통한 개인 맞춤형 정보제공 애플리케이션)

  • Ju-Hyeon Kim;Jeong-Eun Choi;U-Gyeong Shin;Min-Jun Piao;Tae-Kook Kim
    • Journal of Internet of Things and Convergence
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    • v.10 no.1
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    • pp.21-27
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    • 2024
  • This paper presents the implementation of a personalized real-time information-providing application utilizing filtering and web crawling technologies. The implemented application performs web crawling based on the user-set keywords within web pages, using the Jsoup library as a basis for the selected keywords. The crawled data is then stored in a MySQL database. The stored data is presented to the user through an application implemented using Flutter. Additionally, mobile push notifications are provided using Firebase Cloud Messaging (FCM). Through these methods, users can efficiently obtain the desired information quickly. Furthermore, there is an expectation that this approach can be applied to the Internet of Things (IoT) where big data is generated, allowing users to receive only the information they need.