• Title/Summary/Keyword: personalization

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The research on using personalization technology situations recognition-based TV application service (개인화기술을 응용한 상황인식 기반 TV 응용 서비스에 관한 연구)

  • Yoon, Seok-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.75-79
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    • 2011
  • 본 논문에서는 센서를 활용하여 개인의 위치 및 상황 정보를 수집하고 패턴을 분석하여 이에 따라 동적으로 서비스를 제공하는 상황인식 TV 프로그램 추천 및 제어 시스템(CAPUS)을 제안하였다. 상황인식기반 TV 응용서비스를 위하여 개인화(Personalization)기술에 적용을 할 수 있는 사례로 TV채널 추천을 예로 실험하였다. CAPUS는 유비쿼터스의 큰 축이라 할 수 있는 개인화기술을 구현할 수 있는 시스템으로 그 규모가 무척 크며 방대하다 할 수 있다. 본문에서 제안한 CAPUS는 사용자의 정보를 수집하는 에이전트, 분석하는 에이전트, 필터링하는 에이전트 등 다양한 소프트웨어와 알고리즘이 필요하다. 사용자의 정보를 동적으로 수집 및 분석하고 생성한 후에 이를 활용하여 사용자에게 다시 서비스를 제공하는 기술이 CAPUS의 핵심이라 할 수 있다. 데이터의 분석을 통해 비슷한 행동이나 상황을 파악할 수 있으며 사용자에게 맞는 서비스를 제공할 수 있게 된다.

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the Development of Personalization Design framework for building Customized Website - focused on the Application of Design Recommender System (고객맞춤형 웹사이트 구현을 위한 개인화 디자인 프레임웍의 개발 - 디자인 추천 시스템의 활용을 중심으로)

  • 서종환
    • Archives of design research
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    • v.16 no.2
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    • pp.23-34
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    • 2003
  • The need for personalized web site design has been increased these days. Current approach for personalized web site design is easily applied to web site with their cost-effective feature, but is hard to provide a more refined personalized service due to its lack of accumulation of user data. In this study, the design recommender system is investigated as a more advanced method for web site design personalization. We provide an overview of current recommender systems, and then outlined a newly developed design recommender system, which employs collaborative filtering technique to provide tailored recommendation for users.

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Design and Implementation of an Interestingness Analysis System for Web Personalizatoion & Customization

  • Jung, Youn-Hong;Kim, I-I;Park, Kyoo-seok
    • Journal of Korea Multimedia Society
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    • v.6 no.4
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    • pp.707-713
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    • 2003
  • Convenience and promptness of the internet have been not only making the electronic commerce grow rapidly in case of website, analyzing a navigation pattern of the users has been also making personalization and customization techniques develop rapidly for providing service accordant to individual interestingness. Web personalization and customization skill has been utilizing various methods, such as web log mining to use web log data and web mining to use the transaction of users etc, especially e-CRM analyzing a navigation pattern of the users. In this paper, We measure exact duration time of the users in web page and web site, compute weight about duration time each page, and propose a way to comprehend e-loyalty through the computed weight.

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Development of Infotainment Contents Generation System (Infotainment Contents 생성 시스템 개발)

  • 김건희;최진우;김태수;하성도;박면웅
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • pp.1034-1037
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    • 2004
  • The goal of this paper is to develop a system which provides infotainment services for the healthy life of the elderly. First, we define the infotainment services for the elderly, and then determine the infotainment contents and categories related to the infotainment service. In order to provide the infotainment service, we define several modules as follow: user representation, contents generation, contents personalization, provision and learning manager. Finally we develop a pilot system which is based on the proposed framework.

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Mechanisms for Personalization of Documents Utilizing Environment concept in Multiuser Hypermedia System (협조 하이퍼미디어 시스템에 있어서 환경을 이용한 개별화 기구)

  • 이상훈
    • Journal of the military operations research society of Korea
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    • v.27 no.1
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    • pp.114-127
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    • 2001
  • To support cooperative work in various scenes by computer systems, functions of sharing personalization, observation and control are needed. Especially, in advanced cooperative work, people have various position so that sometimes one person needs to restrict behavior of another. In this paper, we describe representation of access restriction of hypermedia system, which is framework of CSCW(Computer-Supported Cooperative Works) system we developed and propose a way to go on working cooperatively with people, restricting others.

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Designing a Personalized Portal Model based on Enterprise 2.0 (Enterpise 2.0 기반의 업무 맞춤 포털 모델 설계)

  • Song, Sang-Sup;Kim, Sun-Mi;Kim, Sun-Ho;Kang, Yoon-Soo
    • 한국IT서비스학회:학술대회논문집
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    • pp.364-367
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    • 2008
  • Cyber office is a personalized enterprise portal model for knowledge workers. The key services of cyber office are both personalization and emergent collaboration. Personalization service is provided by choosing service from service repository and then dropping it in the cyber office. Service repository contains various kinds of services supporting business activities. Cyber office provides blog service and profile service for knowledge workers to participate in knowledge based collaboration voluntarily.

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Analysis of Genie Music's Strategy for Strengthening Customer Interactive : Focus on SWOT and TOWS Analysis (고객 인터렉티브 강화를 위한 지니뮤직의 전략 도입과 현황분석 : SWOT과 TOWS 분석을 중심으로)

  • Kwon, Boa;Park, Sang-hyeon
    • Journal of Venture Innovation
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    • v.4 no.1
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    • pp.87-99
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    • 2021
  • The importance of "personalization technology" has recently been highlighted due to the Covid-19 and the development of IT technology such as AI and big data, which is soon coming beyond personalization into the "super-personalization era." Therefore, in terms of the music streaming service market, it has formed a service supply trend in which individual tastes are respected and companies are seeking to establish a realistic analysis and development direction considering the external market environment. From this perspective, this paper sought to analyze the strengths and weaknesses of the Genie Music's and provide a direction for development based on Genie Music's customer interactive strategy. In particular, it was intended to analyze the advantages and disadvantages of customer interactive strategies with the 'live music service platform' that moves with customers and to provide directions for future corporate development. As an analysis method, we looked at strengths and weaknesses, opportunities and threat requirements based on SWOT analysis. Afterwards, the company attempted to present specific corporate development strategies through TOWS analysis.

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A Study on the Restaurant Recommendation Service App Based on AI Chatbot Using Personalization Information

  • Kim, Heeyoung;Jung, Sunmi;Ryu, Gihwan
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.263-270
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    • 2020
  • The growth of the mobile app markets has made it popular among people who recommend relevant information about restaurants. The recommendation service app based on AI Chatbot is that it can efficiently manage time and finances by making it easy for restaurant consumers to easily access the information they want anytime, anywhere. Eating out consumers use smartphone applications for finding restaurants, making reservations, and getting reviews and how to use them. In addition, social attention has recently been focused on the research of AI chatbot. The Chatbot is combined with the mobile messenger platform and enabling various services due to the text-type interactive service. It also helps users to find the services and data that they need information tersely. Applying this to restaurant recommendation services will increase the reliability of the information in providing personal information. In this paper, an artificial intelligence chatbot-based smartphone restaurant recommendation app using personalization information is proposed. The recommendation service app utilizes personalization information such as gender, age, interests, occupation, search records, visit records, wish lists, reviews, and real-time location information. Users can get recommendations for restaurants that fir their purpose through chatting using AI chatbot. Furthermore, it is possible to check real-time information about restaurants, make reservations, and write reviews. The proposed app uses a collaborative filtering recommendation system, and users receive information on dining out using artificial intelligence chatbots. Through chatbots, users can receive customized services using personal information while minimizing time and space limitations.

A Study on Development of Hybrid Personalization Recommendation System Based on Learing Algorithm (학습알고리즘 기반의 하이브리드 개인화 추천시스템 개발에 관한 연구)

  • Kim Yong;Moon Sung-Been
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.3
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    • pp.75-91
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    • 2005
  • The popularization of the internet has produced an explosion in amount of the information. The importance of web personalization is being more and more increased. The personalization is realized by learning user's interest. User's interest is changing continuously and rapidly. We use user's profile to represent user's interest. User's profile is updated to reflect the change of user's interest. In this paper we present an adaptive learning algorithm that can be used to reflect user's interest that is changing with time. We propose the User's profile model. With this profile user's interest is learned based on user's feedback. This approach has applied to develop hybrid recommendation system.

A Simulation-Based Development Methodology for CAS (Context-Aware Web Services) Personalization (컨텍스트 기반 맞춤형 웹 서비스 제작을 위한 시뮬레이션 기반 방법론)

  • Chang, Hee-Jung;Kim, Ju-Won;Choi, Sung-Woon;Lee, Kang-Sun
    • Journal of the Korea Society for Simulation
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    • v.15 no.4
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    • pp.11-19
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    • 2006
  • With the emergence of pervasive computing, personalization becomes an important issue to provide with users customized services, anywhere and anytime in their specific environment. Many researches have shown the possibilities of personalization by acquiring and processing sensor information around users. However, personalization remains still at its infancy, since most researches have failed to consider various contexts comprehensively besides sensor data, and just developed tailored services for a specific application domain. In this work, we propose a simulation-based CAS (context Aware Web Services) development methodology. Our methodology considers various contexts on users (eg. current location), web services (eg. response time), devices (eg. availability) and environment (eg. sensor data) all together by simulating them on the fly for personalized and adaptable services.

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