• Title/Summary/Keyword: Service Advertisement

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Target Advertisement based on a TV Viewer's Profile Inference and TV Anytime Metadata (시청자 프로파일 추론과 TV Anytime 메타데이타를 이용한 표적 광고)

  • Kim, Mun-Jo;Lee, Bum-Sik;Lim, Jeong-Yon;Kim, Mun-Churl;Lee, Hee-Kyung;Lee, Han-Gyu
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.10
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    • pp.709-721
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    • 2006
  • The traditional broadcasting services over terrestrial, satellite and cable media have been unidirectional mass media regardless of TV viewer's preferences. Recently ich media streaming has become possible via the broadb and networks. Furthermore, since bidirectional communication is possible, personalcasting such as personalized streaming services has been emerging by taking into account the user's preference on content genres, viewing times and actors/actresses etc. Accordingly, personal media becomes an important means for content provision service in addition to the traditional broadcasting service as mass media. In this paper, we introduce a user profile reasoning method for target advertisement which is considered an important application in personalcasting service. The proposed user profile reasoning method predicts an unknown TV viewer's gender and ages by analyzing TV Viewing history data. Based on the estimated user's gender and ages, a target advertisement is provided with TV Anytime metadata. A proposed target advertisement system is developed based on the user profile reasoning and the target advertisement selection method. To show the effectiveness of our proposed methods, we present a plenty of experimental results by using realistic TV viewing history data.

The Antecedents and Consequence of Brand Personality in the Service Environment (서비스 환경에서 브랜드 개성의 결정요인과 결과)

  • Kim, Hyoung-Gil;Kim, Youn-Jeong;Kim, Jung-Hee
    • Science of Emotion and Sensibility
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    • v.10 no.2
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    • pp.221-241
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    • 2007
  • It was intended in this study to identify how much contributions are made in establishment of brand personality by inputting service experience, price, advertisement, and physical environment in the service industries. Also, this study examines how service brand personality affects brand identification and repurchase intention by switching barrier. Data were collected from consumers with experience of use in Seoul and Gyeonggi-do. The result of analysis of this study was as follows: 1) It was identified that service experience, price, advertisement, and physical environment influenced on brand personality, 2) it demonstrates that service brand personality influenced on brand identification, switching barrier, and repurchase intention.

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U-Bus Advertisement Business Model and System Implementation based on Wireless Networks (무선망 기반의 U-버스광고 비즈니스 모델 및 시스템 구축 방안)

  • Roh, Su-Sung;Kim, Do-Nyun
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.88-97
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    • 2010
  • Recently the more convenient services are provided to people in the city in line with the change of city paradigm and the recent development of ubiquitous. For example, Information on bus arrivals an effective advertisement the combination of high technology and departures through smart-phones. However, in respect of the mobile advertisement, because of difficulties such as the means of transferring the mass storage data or the burden of communication charges. there need means to improve such difficulties. This study has been conducted aiming to overcome such difficulties. This study suggests the strategic differentiation plan through the analysis of the media characteristics such as real time service information when in traveling, U-Bus business model in the category of mobile advertisement, etc. and also the concrete system establishment plan from the operation center via network to the delivery of the advertisement through vehicle terminals. In respect that this study suggests the implications as a practical business model through the fusion of high technology and diverse media. It has great significance.

D2D Advertisement Dissemination Algorism based on User Proximity and Density (인접성과 사용자 밀집도 정보 기반 D2D 광고 확산 알고리즘)

  • Kim, JunSeon;Lee, Howon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2403-2408
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    • 2014
  • We designate multiple target areas for the advertisement disseminations in order to resolve the problem of advertisement transmission efficiency degradation due to overlapped device-to-device (D2D) transmissions and unnecessary advertisement transmissions. We here propose an efficient advertisement dissemination algorithm based on pre-selected target areas considering user density. In our proposed algorithm, relay nodes are gradually selected according to the locations of the target areas. We mathematically analyze D2D advertisement coverages of our proposed algorithm, and compare the various simulation results of the proposed algorithm with those of the conventional algorithm according to the several simulation scenarios via intensive simulations.

A Research of Purchasing Behavior on Sauce Product & The Credibility of Mess Media Advertisement - The Residential Women Consumer in Busan - (부산 지역 여성 소비자의 소스 제품 구매 현황 및 광고매체 유형의 신뢰도 조사)

  • Kim, Jong-Hoon;Seo, Kyung-Mi
    • Culinary science and hospitality research
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    • v.13 no.1 s.32
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    • pp.87-98
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    • 2007
  • The purpose of this study was to understand purchasing behavior on sauce products and the credibility of advertisement in Busan. For the study, 240 of samples taking cooking courses at welfare centers and private institutes were selected. The questionnaire consisted of demographic characteristics, the practical situation of purchasing sauce products, and the credibility of mess media advertisements. 260 questionnaires were distributed, among which 240 were returned and 233 were used for statistical analysis. The result of the study was as followed. Considering the practical situation of purchasing, the samples took information about sauce products from discount markets, and TV advertisements. Purchasing sauce products was done by themselves, and the main reason that they didn't purchase was health. Seeing the credibility of mess media advertisements, they trusted "The recommendation of a familiar person" most, department stores were the second highest, and TV advertisement was the third. The statistical differences partly existed depending on demographic characteristics: job, and material status. Identifying the decision making factors on sauce products was needed as further study.

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U-AD using Mobile RFID (모바일 RFID를 이용한 U-AD)

  • Lee, Hye-Rim;Han, Sang-Hwan;Lee, Jong-Seo;Lee, Chan-Mi;Moon, Il-Young
    • Journal of Advanced Navigation Technology
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    • v.12 no.6
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    • pp.583-590
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    • 2008
  • U-AD using Mobile RFID is service of new concept. It will be able to provide a service to the user by reading Tag information which is attach in the CDs, the books and medical supply etc. with cellular phone equipped with RFID device which is available for reading RFID tags. Applies like this service and when reacting Tag with RFID Readers of the cellular phone, the advertisement contents which is not the possibility of seeing fragmentarily in the outside develops the service which is the possibility with the cellular phone of seeing at real-time with aim. U-AD using Mobile RAD detail shows product information by cell phone, user exactly knows desire product and looks forward purchasing efficiently. Also advertiser benefit from U-AD using Mobile RFID since advertises effects of product sufficiently are increased. And then it expands demand on product.

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A Design and Implementation of Generative AI-based Advertising Image Production Service Application

  • Chang Hee Ok;Hyun Sung Lee;Min Soo Jeong;Yu Jin Jeong;Ji An Choi;Young-Bok Cho;Won Joo Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.5
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    • pp.31-38
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    • 2024
  • In this paper, we propose an ASAP(AI-driven Service for Advertisement Production) application that provides a generative AI-based automatic advertising image production service. This application utilizes GPT-3.5 Turbo Instruct to generate suitable background mood and promotional copy based on user-entered keywords. It utilizes OpenAI's DALL·E 3 model and Stability AI's SDXL model to generate background images and text images based on these inputs. Furthermore, OCR technology is employed to improve the accuracy of text images, and all generated outputs are synthesized to create the final advertisement. Additionally, using the PILLOW and OpenCV libraries, text boxes are implemented to insert details such as phone numbers and business hours at the edges of promotional materials. This application offers small business owners who face difficulties in advertising production a simple and cost-effective solution.

Influence of Advertising Attributions on Attitude toward Advertisement, Brand Attitude and Purchase Intention : Emphasis on Hotel Web Advertisement (호텔 웹 광고의 광고속성이 광고태도와 브랜드태도, 구매의도에 미치는 영향)

  • Kim, Yeon Mee;Han, Jin Soo
    • Knowledge Management Research
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    • v.12 no.1
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    • pp.1-16
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    • 2011
  • This study was motivated by consideration of advertising effects on purchase intention of hotel customers in the situation that people can experience in web advertisements more easily and quickly through four main media. We intends to propose strategic web advertising marketing plans by investigating the relation among hotel web advertising attributions, advertising attitude, brand attitude and purchase intention of customers. In conclusion, in the situation that hotel service industry endeavors a lot to attract young customers, according to gentrified consumption culture and changes in an environmental trend, these results are expected to be used as data to establish web advertising marketing strategies to show trendy brand images to hotel customers, especially consumers of N Generation using official websites of hotels.

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Using AI Facial Expression Recognition, Healing and Advertising Service Tailored to User's Emotion (인공지능 표정 인식 기술을 활용한 사용자 감정 맞춤 힐링·광고 서비스)

  • Kim, Minsik;Jeong, Hyeon-woo;Moon, Yoonji;Moon, Jaehyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1160-1163
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    • 2021
  • DOOH(Degital Out of Home) advertisement market is developing steadily, and the case of use is also increasing, In advertisement market, personalized services is actively being provided with technological development. On the other hand, personalized services are difficult to be provided in DOOH and are p rovided by only personal information, not feelings. This study aims to construct personalized DOOH se rvices by using AI facial expression recognition and suggesting a solution optimized for interaction bet ween user and services by providing healing and advertisement.