• Title/Summary/Keyword: Personalized

Search Result 1,968, Processing Time 0.027 seconds

A Study of Factors Affecting Mobile Widget-based Personalized Services (모바일 위젯기반 개인화 서비스의 영향 요인에 관한 연구)

  • Lee, Ji-Eun;Shin, Min-Soo;Woo, Jung-Eun
    • Journal of Information Technology Services
    • /
    • v.9 no.2
    • /
    • pp.21-42
    • /
    • 2010
  • As digital convergence and mobile services evolve, personalization becomes one of the most important factors attracting customers. Personalization means functions offering individually customized services with relevant contents using information on individual preferences. This sort of personalized services has attracted great attention of a large part of online firms. One of representative services of such personalized services is a mobile widget service. In this study, we identified seven antecedents affecting the quality of personalized mobile widget services and empirically investigated which antecedent has a significant effect of the quality of personalized mobile widget services. In addition we carried out empirical investigation into the effect of the quality of personalized mobile widget service on user satisfaction and trust. As a result of this research, we revealed that seven variables including information services affected components of personalized services, and usefulness and perceived benefit as components of personalized services affected user trust and satisfaction for personalized services.

A Review on Korean Medicine and Personalized Medicine: Syndrome-based Personalized Medicine on the Basis of Syndrome Differentiation and Treatment (한의학과 개인맞춤의학에 대한 소고; 변증논치에 근거한 '증 기반 개인맞춤의학')

  • Han, Jae Min;Yang, Woong Mo
    • The Journal of Korean Medicine
    • /
    • v.35 no.3
    • /
    • pp.40-48
    • /
    • 2014
  • Objectives: This study aimed to review the characteristics of personalized medicine and Korean medicine, and the correlation between personalized medicine and Korean medicine. Methods: We investigated various studies in PubMed, Scopus and domestic Korean medicine journals. In addition, we discussed the topic based on literature. Results: Western medicine developed as evidence-based medicine. However, its limitations are being reached, so a new paradigm of medicine is needed. As a result, personalized medicine has appeared. Recently, through the development of human genomics, personalized medicine has been researched on the basis of individual genetic characteristics. Korean medicine has developed with a unique holistic approach and treats not the disease itself but the patient's body. Its characteristic is well expressed through syndrome differentiation and treatment. Syndrome differentiation represents the nature of person-centered medicine and becomes the root of personalized medicine. Conclusions: Compared with genome-based personalized medicine of Western medicine, Korean medicine could be classified as syndrome-based personalized medicine. It would be great to apply this characteristic to clinical practices.

Personalized Information Retrieval Method considering Participating Device in Internet of Things (사물인터넷에서 참여 기기를 고려한 개인화 정보 검색 기법)

  • Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.16 no.1
    • /
    • pp.21-31
    • /
    • 2020
  • Internet of Things is growing rapidly. As it evolves, the amount of data is increasing significantly. It requires a new personalized information retrieval method. Internet of Things is defined as uniquely identifiable interoperable connected object. The first definition of Internet of Things was from Things oriented perspective. However, previous studies about personalized information retrieval method do not consider Things. To meet user's individual needs, previous studies concentrate on only human, not Things. In this paper, we propose a personalized information retrieval method considering participating device in Internet of Things. It provides personalized information using data type preference for each device. Moreover, it provides personalized results by integrating data type preference for set of devices. This paper describes a new personalized retrieval method and algorithm. It consists of five steps. Then, it presents four scenarios using proposed method. The scenarios show our work is more effective and efficient than existing one.

Personalized Interstitial Content Service for Second TV (Second TV를 위한 맞춤형 광고 서비스)

  • Lee, Jong-Seol;Shin, Sa-Im;Lim, Tae-Beom;Lee, Seok-Pil
    • IEMEK Journal of Embedded Systems and Applications
    • /
    • v.3 no.4
    • /
    • pp.229-234
    • /
    • 2008
  • The 'Anytime, Anywhere' services have been the biggest topic in the recent digital broadcasting research area. The related applications for the Anytime and Anywhere Services are as follows: the personalized broadcasting based on the PVR (Personal Video Recorder) for the Anytime Services, and the DMB (Digital Multimedia Broadcasting), the mobile devices supporting the wireless network and the Second TV and so on for the anywhere services. The personalized broadcasting has been researched on the one of the killer applications in the various broadcasting environment - the ground wave broadcasting, the satellite broadcasting, IPTV and CATV broadcasting suchlike. The applied contents of the personalized broadcasting have advanced from the main contents for the broadcasting to the interstitial contents like advertisements and coupons, the personalized interstitial broadcasting needs to develop the technology about the generation, storing and management of the interstitial metadata. but, the personalized broadcasting has the limitation that the TV environment is somewhat difficult to support the personalized broadcasting individually, because all family usually share the main TV at home. The Second TV is possible to solve the environmental limitation. This paper designs and develops the static set top box at home, the Second TV and their multimedia streaming techniques for the personalized broadcasting of the contents including the interstitial contents.

  • PDF

Children's Personalized Inferences when Reasoning about Other's Emotion or Behavior (타인의 정서 및 행동 추론 시 아동의 개인화된 추론)

  • Chung Ha-Na;Yi Soon-Hyung
    • Journal of Families and Better Life
    • /
    • v.24 no.2 s.80
    • /
    • pp.15-26
    • /
    • 2006
  • The purposes of this study were (1) to investigate children's personalized inferences of characters emotional reactions depending on character's personality trait, emotional situation, children's age and gender, (2) to investigate children's personalized inferences of character's behavioral reactions depending on character's personality trait, emotional situation, children's age and gender, (3) to investigate differences between children's personalized inferences of character's emotional reaction and that of character's behavioral reactions. The subjects were 103 children from three age groups (thirty-four 3-year-olds, thirty-three 5-year-olds and thirty-six 7-year-olds). The statistical methods adopted for the data analysis were frequency, percentile, mean, standard deviation, repeated measure ANOVA and paired t-test. The result showed that there were significant differences in children's personalized inferences of character's emotional reaction depending on character's personality trait, emotional situation and their age. There were significant differences in children's personalized inferences of character's behavioral reaction depending on children's age and gender. There were significant differences between personalized inferences of character's emotional reaction and behavioral reactions.

Effect of web-based personalized nutrition management on gut microbiota in Korean patients with irritable bowel syndrome aged between 20 and 30 years

  • Woori Na;Dayoung Oh;Seohyeon Hwang;Cheongmin Sohn
    • Journal of Nutrition and Health
    • /
    • v.57 no.1
    • /
    • pp.75-87
    • /
    • 2024
  • Purpose: Dietary habits are strongly related to the symptoms of people with irritable bowel syndrome (IBS). Therefore, personalized nutrition management can help reduce symptoms and improve the quality of life of people with IBS. This study assessed the effectiveness of a personalized web-based nutrition management based on the types of food that trigger IBS symptoms. Methods: Sixty Korean adults with IBS according to Rome IV criteria in their 20s and 30s were enrolled in this study. The data from the final 49 patients who completed a three-month personalized nutrition intervention were analyzed. The general information, anthropometry, dietary intake survey, and gut microbiota were examined pre and post-intervention. The gut microbiota analysis included the relative abundance and the Shannon index. The food intake was recorded for two days for personalized nutrition education, followed by three months of personalized nutrition intervention. Statistical analysis was performed using the Wilcoxon signed-rank test in SPSS 26.0, with the significance set to p < 0.05. Results: The relative abundance of the gut microbiota changed after personalized nutrition management, with a significant decrease in the presence of Veillonella (p = 0.048). Furthermore, when the gut microbiota was analyzed according to the type of food that triggers symptoms, the diversity was increased significantly in the high fermentable oligosaccharides, disaccharides, monosaccharides, and polyols (FODMAPs) type (p = 0.031) and FODMAPs-containing gluten-type personalized nutrition intervention types (p < 0.001). Conclusions: Gut microbial diversity and gut microbiota distribution changed after using web-based personalized nutrition management. Hence, personalized nutrition management that considers trigger foods may improve IBS symptoms.

Comparison of Personalized Ad Methods on the Internet and Smart Phone Platforms (인터넷과 스마트폰 환경에서의 개인화된 광고 방법론의 비교 분석)

  • Kim, Jun San;Lee, Jae Kyu
    • Asia pacific journal of information systems
    • /
    • v.22 no.4
    • /
    • pp.125-149
    • /
    • 2012
  • As the smart phone is propagating rapidly, the importance of mobile advertisement has also grown. One of the main characteristics of the Internet and smart phone advertising is that they can deliver personalized advertisements to each customer. The smart phone enables the identification of additional personalized information such as the customer's location and the accessibility to the site at any place any time. As the Internet platform becomes richer, firms that offer the ad services via the wired PC Internet and wireless smart phone are seeking various types of personalized ads. However, their service platform and Information and Communication Technology (ICT) platform should be suitable to the characteristics of personalized ads. This research explores various types of personalized ad methods and evaluates their adequacy encompassing four types of ad service platforms (such as search portal, news portal, e-mall servers, and SNS) and two types of ICT platforms (PC Internet and smart phone). To this end, we classified the personalized ads into seven types: three basic types and four composite types. The basic types of ad methods are identified by considering the current activity that the customer is engaged, the individual profile and log history, and the customer's current location or planning location. Four composite types of ad methods are constructed as the combination of these basic types. For those types of ad methods, we evaluate whether each ad method adequately maps with four types of ad service platforms and two types of ICT platforms. We proposed a metric of evaluation and demonstrated the concept with illustrative numbers. Specifically, we analyze and compare personalized ad methods in three ways. Firstly, the possibility of implementing a personalized ad method on the platform is analyzed to confirm the degree of suitability. Secondly, the value of personalized ad method is analyzed based on the customer accessibility. Lastly, expected effectiveness for each personalized ad method is computed by multiplying the possibility and the value. Through this kind of analysis, the ad service providers as well as advertising companies can evaluate what kinds of personalized ad methods and platforms are possible and suitable to maximize their ad effectiveness on the Internet and smart phone platforms.

  • PDF

Personalized Web Service Recommendation Method Based on Hybrid Social Network and Multi-Objective Immune Optimization

  • Cao, Huashan
    • Journal of Information Processing Systems
    • /
    • v.17 no.2
    • /
    • pp.426-439
    • /
    • 2021
  • To alleviate the cold-start problem and data sparsity in web service recommendation and meet the personalized needs of users, this paper proposes a personalized web service recommendation method based on a hybrid social network and multi-objective immune optimization. The network adds the element of the service provider, which can provide more real information and help alleviate the cold-start problem. Then, according to the proposed service recommendation framework, multi-objective immune optimization is used to fuse multiple attributes and provide personalized web services for users without adjusting any weight coefficients. Experiments were conducted on real data sets, and the results show that the proposed method has high accuracy and a low recall rate, which is helpful to improving personalized recommendation.

The Development of the Bi-directionally Personalized Broadcasting and the Targeting Advertisement System Based on the User Profile Techniques (사용자 프로파일 기반의 맞춤형 광고 서비스 및 양방향 개인 맞춤형 방송 시스템 구축)

  • Shin, Sa-Im;Lee, Jong-Soel;Jang, Se-Jin;Lee, Soek-Pil
    • Journal of Broadcast Engineering
    • /
    • v.15 no.5
    • /
    • pp.632-641
    • /
    • 2010
  • This paper shows the research about the personalized broadcasting system. The personalized broadcasting is the service that users only show the programs which they want to watch when they want to watch these. The purpose of the bi-directional broadcasting service is supporting more satisfied and more personalized services by permitting the bi-directional data transformation. This research also develops the user profiling system for the bi-directional and personalized broadcasting service. This system applied the TV-Anytime metadata specifications which is the standard for the personalized broadcasting services, the system supports the various functions for the bi-directionl and personalized broadcasting such as the user profiling, contents metadata and targeting advertisement services. The bi-directional and personalized broadcasting system increases the users' satisfaction with the recommendation and management of the personally favorite broadcasting contents and advertisements, the trial run results show that the services raise the users' satisfaction with the intelligent and discriminating broadcasting services.

Influence A Study on the Effects of Personalized Recommendation Service of OTT Service on the Relationship Strength and Customer Loyalty in Accordance with Type of Contents (콘텐츠 유형에 따라 OTT 서비스의 개인화추천서비스가 관계강화 및 고객충성도에 미치는 영향)

  • Kim, Minjoo;Kim, Minkyun
    • Journal of Service Research and Studies
    • /
    • v.8 no.4
    • /
    • pp.31-51
    • /
    • 2018
  • The objective of this study is to suggest the measures for providing the personalized recommendation service, by analyzing the effects of personalized recommendation service of OTT service on the relationship strength and customer loyalty, and also to verify the differences in meanings of personalized recommendation service in accordance with the type of contents. In the results of this study, the personalized recommendation service has significant effects on the customer loyalty with the mediation of relationship strength, and in accordance with the type of contents mainly used by customers, there are differences in the effects of personalized recommendation service on the customers. Personalized recommendation service could be used as a tool for strengthening the relationship by inducing the commitment, which could improve the customer loyalty. When the contents have more active communications with customers, personalized recommendation service could largely contribute to the improvement of loyalty.