• Title/Summary/Keyword: Personalized system

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A Personalized Recommender System for Mobile Commerce Applications (모바일 전자상거래 환경에 적합한 개인화된 추천시스템)

  • Kim, Jae-Kyeong;Cho, Yoon-Ho;Kim, Seung-Tae;Kim, Hye-Kyeong
    • Asia pacific journal of information systems
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    • v.15 no.3
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    • pp.223-241
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    • 2005
  • In spite of the rapid growth of mobile multimedia contents market, most of the customers experience inconvenience, lengthy search processes and frustration in searching for the specific multimedia contents they want. These difficulties are attributable to the current mobile Internet service method based on inefficient sequential search. To overcome these difficulties, this paper proposes a MOBIIe COntents Recommender System for Movie(MOBICORS-Movie), which is designed to reduce customers' search efforts in finding desired movies on the mobile Internet. MOBICORS-Movie consists of three agents: CF(Collaborative Filtering), CBIR(Content-Based Information Retrieval) and RF(Relevance Feedback). These agents collaborate each other to support a customer in finding a desired movie by generating personalized recommendations of movies. To verify the performance of MOBICORS-Movie, the simulation-based experiments were conducted. The results from this experiments show that MOBICORS-Movie significantly reduces the customer's search effort and can be a realistic solution for movie recommendation in the mobile Internet environment.

Trends of Broadcast Core Network Standardization (방송 코어 망(BCN) 표준화 동향)

  • Kim, S.C.;Lee, J.;Hur, N.;Choi, D.J.
    • Electronics and Telecommunications Trends
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    • v.36 no.6
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    • pp.25-35
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    • 2021
  • ATSC 3.0 is a next-generation terrestrial broadcasting standard that provides various functions and improved performance compared to the existing ATSC 1.0 High Definition standard. Based on the ATSC 3.0 broadcast system with IP-centric transport and coherence, it can provide personalized and personalized interactive services to TV viewers. However, the broadcasting system still has a structural limitation in that the service is deployed separately from broadcasters who are allocated a specific frequency and is expected to have different spectrum allocation for each market. To overcome this structural limitation and provide improved services compared with the current ATSC 3.0, preliminary studies were conducted to apply the core network concept of a communication network (particularly 5G) to ATSC 3.0 broadcasting. Finally, in february of this year, the ATSC TG3/S43 group for the development of the ATSC 3.0 Broadcast Core Network (BCN) standard was launched. This paper describes the background and current status of BCN standardization by ATSC TG3/S43, and future standardization prospects.

A Web-Based IPTV Content Syndication System for Personalized Content Guide

  • Yang, Jinhong;Park, Hyojin;Lee, Gyu Myoung;Choi, Jun Kyun
    • Journal of Communications and Networks
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    • v.17 no.1
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    • pp.67-74
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    • 2015
  • In this paper, we propose a web-based content syndication system in which users can easily choose Internet protocol television (IPTV) contents. This system generates personalized content guide to provide a list of IPTV contents with respect to users' interests and statistics information of their online social community. For this, IPTV contents and relevant metadata are collected from various sources and transformed. Then, the service and content metadata are processed by user metadata including audience measurement and community metadata. The metadata flows are separated from content flows of transport network. The implementation of IPTV content syndication system demonstrates how to arrange IPTV contents efficiently from content providers to the end user's screen. We also show that the user metadata including online community information are important for the system's performance and the user's satisfaction.

Development of a Adaptive Knowledge Base Object Model for Intelligent Tutoring System (지능형 교육 시스템을 위한 적응적 지식베이스 객체 모형 개발)

  • Kim Yong-Beom;Kim Yung-Sik
    • The KIPS Transactions:PartB
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    • v.13B no.4 s.107
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    • pp.421-428
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    • 2006
  • Intelligent Tutoring System(ITS), which offers individualized learning environment that consider many learners' variable, is realized by the effective alternative to take the place of domain expert. Accordingly, research on Learning Companion System(LC) is currently noticing. However, to develop LCS which applies effective interaction, it is necessary to combine several LCs, and personalized knowledge base have to be made first. Therefore, in this paper, we propose the 'Knowledge Base Object Medel', which is based on connectionist' in cognition structure, represents learner's knowledge to self-learnig object, and grows adaptive object by proprietor, verify the validity. This model lays the groundwork for design of personalized knowledge base, offers clue to development of adaptive ITS using knowledge base object.

e-Learning System Design and Implementation for Small Sized Cyber Lecturing (소형 사이버강좌를 위한 e-Learning시스템 설계 및 구현 사례)

  • Seo, Chang-Gab;Park, Sung-Kyou
    • Information Systems Review
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    • v.6 no.2
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    • pp.161-179
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    • 2004
  • The purpose of this study is to suggest practical experience to develop small sized e-Learning system. The system is designed to help lecturers can arrange interface, organize contents, submit examinations and assess learner's score with no professional computing skills. The system has three advantages. First, it reduced implementation period through the use of GUI. Second, it is ordered to be personalized to construct format of the whole interface. Third, it has operational convenience which can be implemented on PC based system. These personalized features are enabling Learning on Demand. Also, there is comparatively low cost and high effectiveness on e-Learning implementation which facilitating quick adoption of e-Learning in its lectures.

A Study on the Cost-Effective Personalized Plantar Pressure Measurement System

  • Kang, Ji-Woo;Kwon, Young-Man;Lim, Meoung-Jae;Chung, Dong-Kun
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.4
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    • pp.11-17
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    • 2019
  • Plantar pressure data can be used not only for walking patterns in daily life, but also for eating, health care, and disease prevention. For this reason, the importance of plantar pressure measurement has recently increased. However, most systems that can measure both static and dynamic plantar pressure at the same time are expensive, not portable, and not universal. In this study, we propose a system that effectively reduces the number of sensors in plantar pressure system. Through this, we want to increase the economics and practicality by reducing the size and weight of the system, as well as the power consumption. First, for static plantar pressure and dynamic plantar pressure, the values measured by existing precision instruments are analyzed to determine how many measurement parts the insole is divided into. Next, for the divided measuring parts, the position of the sensor is determined by calculating the Center of Pressure (COP) for each part with the values of all dynamic and static plantar pressure sensors. Finally, in order to construct a personalized plantar pressure measurement system, we propose a weighting method for the static plantar pressure COP and the dynamic plantar pressure COP for each part.

Implementation of a pet product recommendation system using big data (빅 데이터를 활용한 애완동물 상품 추천 시스템 구현)

  • Kim, Sam-Taek
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.19-24
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    • 2020
  • Recently, due to the rapid increase of pets, there is a need for an integrated pet-related personalized product recommendation service such as feed recommendation using a health status check of pets and various collected data. This paper implements a product recommendation system that can perform various personalized services such as collection, pre-processing, analysis, and management of pet-related data using big data. First, the sensor information worn by pets, customer purchase patterns, and SNS information are collected and stored in a database, and a platform capable of customized personalized recommendation services such as feed production and pet health management is implemented using statistical analysis. The platform can provide information to customers by outputting similarity product information about the product to be analyzed and information, and finally outputting the result of recommendation analysis.

Optimizing User Experience While Interacting with IR Systems in Big Data Environments

  • Minsoo Park
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.104-110
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    • 2023
  • In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.