• Title/Summary/Keyword: Hyper personalization technology

Search Result 3, Processing Time 0.017 seconds

An Exploratory Study on Contactless Digital Economy: the Characteristics, Regulatory Issues and Resolutions (비대면 디지털 경제에 대한 탐색적 연구: 특성, 규제쟁점 및 개선방안을 중심으로)

  • Shim, Woohyun;Won, Soh-Yeon;Lee, Jonghan
    • Informatization Policy
    • /
    • v.29 no.2
    • /
    • pp.66-90
    • /
    • 2022
  • The radical digital transformation and development of the contactless digital economy in the wake of the COVID-19 pandemic are increasing the need to solve various problems such as conflicts of interest among market participants and delays in related laws and regulations. This study investigates the concept and characteristics of the contactless digital economy and identifies the related regulatory issues and resolutions through literature review, news article analysis, and expert interviews. From the literature review, it is identified that the contactless digital economy has eight hyper-innovation characteristics: hyper-intelligence, hyper-connectivity, hyper-convergence, hyper-personalization, hyper-automation, hyper-precision, hyper-diversity, and hyper-trust. From news article analyses and expert interviews, this study identifies various regulatory issues, such as competition between incumbents and new entrants, the collision of constitutional rights, collision of social values, conflict between market participants, absence of laws and regulations, and existence of excessive market power, and then proposes a series of resolutions.

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
    • /
    • v.4 no.1
    • /
    • pp.87-99
    • /
    • 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.

A Research on Image Metadata Extraction through YCrCb Color Model Analysis for Media Hyper-personalization Recommendation (미디어 초개인화 추천을 위한 YCrCb 컬러 모델 분석을 통한 영상의 메타데이터 추출에 대한 연구)

  • Park, Hyo-Gyeong;Yong, Sung-Jung;You, Yeon-Hwi;Moon, Il-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2021.10a
    • /
    • pp.277-280
    • /
    • 2021
  • Recently as various contents are mass produced based on high accessibility, the media contents market is more active. Users want to find content that suits their taste, and each platform is competing for personalized recommendations for content. For an efficient recommendation system, high-quality metadata is required. Existing platforms take a method in which the user directly inputs the metadata of an image. This will waste time and money processing large amounts of data. In this paper, for media hyperpersonalization recommendation, keyframes are extracted based on the YCrCb color model of the video based on movie trailers, movie genres are distinguished through supervised learning of artificial intelligence and In the future, we would like to propose a utilization plan for generating metadata.

  • PDF