• Title/Summary/Keyword: User-personalized Service

Search Result 281, Processing Time 0.022 seconds

Personalized Recommendation System for Location Based Service

  • Lee Keumwoo;Kim Jinsuk
    • Proceedings of the KSRS Conference
    • /
    • 2004.10a
    • /
    • pp.276-279
    • /
    • 2004
  • The location-based service is one of the most powerful services in the mobile area. The location-based service provides information service for moving user's location information and information service using wire / wireless communication. In this paper, we propose a model for personalized recommendation system which includes location information and personalized recommendation system for location-based service. For this service system, we consider mobile clients that have a limited resource and low bandwidth. Because it is difficult to input the words at mobile device, we must deliberate it when we design the interface of system. We design and implement the personalized recommendation system for location-based services(advertisement, discount news, and event information) that support user's needs and location information. As a result, it can be used to design the other location-based service systems related to user's location information in mobile environment. In this case, we need to establish formal definition of moving objects and their temporal pattern.

  • PDF

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 study on the User's Satisfaction and Intention to Re-use the U-Healthcare Services: Focusing on the User's Response of Personalized Medical Information Applications (유헬스케어 서비스 사용자의 만족도와 재사용의도 영향 요인에 대한 연구: 개인용 의료정보 애플리케이션 사용자의 반응을 중심으로)

  • Park, Ji Min;Jo, Eun Hee;Lee, Jong Tae
    • The Journal of Information Systems
    • /
    • v.29 no.2
    • /
    • pp.243-263
    • /
    • 2020
  • Purpose The purpose of this study is to analyze the causal relationship between user satisfaction, expected satisfaction, quality of service, perceived value, and expertise that should be emphasized in personalized medical information services for the development of personalized medical information services based on big data analysis and the spread of their demand. Design/methodology/approach This study established research models and hypotheses on the basis of the theory of reuse intent, and applied the PLS methodology for analysis, the factors that make it applicable to personalized medical services in the theory of service quality and satisfaction. Findings According to the empirical analysis result, this study confirmed that it can be seen that the expertise, perceived value, and quality of medical services did not directly affect the user's intention to reuse, but formed a direct causal relationship through variables such as whether they met expectations.

Proposal for User-Product Attributes to Enhance Chatbot-Based Personalized Fashion Recommendation Service (챗봇 기반의 개인화 패션 추천 서비스 향상을 위한 사용자-제품 속성 제안)

  • Hyosun An;Sunghoon Kim;Yerim Choi
    • Journal of Fashion Business
    • /
    • v.27 no.3
    • /
    • pp.50-62
    • /
    • 2023
  • The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

Design and Implementation of Intelligent IP Streaming Module Based on Personalized Media Service (개인 맞춤형 미디어 서비스 기반 지능형 IP 스트리밍 모듈 설계 및 구현)

  • Park, Sung-Joo;Yang, Chang-Mo
    • IEMEK Journal of Embedded Systems and Applications
    • /
    • v.4 no.2
    • /
    • pp.79-83
    • /
    • 2009
  • Streaming Technology can support the real-time playback without downloading and storing multimedia data in local HDD. So, client browser or plug-in can represent multimedia data before the end of file transmission using streaming technology. Recently, the demand for efficient real-time playback and transmission of large amounts of multimedia data is growing rapidly. But most users' connections over network are not fast and stable enough to download large chunks of multimedia data. In this paper, we propose an intelligent IP streaming system based on personalized media service. The proposed IP streaming system enables users to get an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. The supposed intelligent IP streaming system consists of Server Metadata Agent, Pumping Server, Contents Storage Server, Client Metadata Agent and Streaming Player. And in order to implement the personalized media service, the user information, user preference information and client device information are managed under database concept. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with manufacturing home server system and simulation results.

  • PDF

The design and implementation of the personalized service agent using user information (사용자 정보를 활용한 개인 맞춤형 에이전트의 설계 및 구현)

  • Lee, Jong-Seol;Shin, Sa-Im;Kim, Yun-Sang;Lee, Seok-Pil
    • Proceedings of the KIEE Conference
    • /
    • 2006.10c
    • /
    • pp.503-505
    • /
    • 2006
  • In this paper we introduce a design and implementation of an agent for multimedia retrieval and personalized broadcasting service. It is compliant with TV Anytime Forum specifications and supports searching location resolving, storing and streaming of remote multimedia contents. For this service, we implemented a contents server, a 메타데이터 database server, a location resolution server and a client terminal is implemented The Client terminal gathers content information by SOAP of operation, and it has a user preference module and usage history module that make user information. The personalize service agent recommends suitable contents to user by similarity algorithm.

  • PDF

Design and Implementation of Personalized IoT Service base on Service Orchestration (서비스 오케스트레이션 기반 사용자 맞춤형 IoT 서비스의 설계 및 구현)

  • Cha, Siho;Ryu, Minwoo
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.11 no.3
    • /
    • pp.21-29
    • /
    • 2015
  • The Internet of Things (IoT) is an Infrastructure which allows to connect with each device in physical world through the Internet. Thus IoT enables to provide meahup services or intelligent services to human user using collected data from those devices. Due to these advantages, IoT is used in divers service domains such as traffic, distribution, healthcare, and smart city. However, current IoT provides restricted services because it only supports monitor and control devices according to collected data from the devices. To resolve this problem, we propose a design and implementation of personalized IoT service base on service orchestration. The proposed service allows to discover specific services and then to combine the services according to a user location. To this end, we develop a service ontology to interpret user information according to meanings and smartphone web app to use the IoT service by human user. We also develop a service platform to work with external IoT platform. Finally, to show feasibility, we evaluate the proposed system via study.

Personalized Book Curation System based on Integrated Mining of Book Details and Body Texts (도서 정보 및 본문 텍스트 통합 마이닝 기반 사용자 맞춤형 도서 큐레이션 시스템)

  • Ahn, Hee-Jeong;Kim, Kee-Won;Kim, Seung-Hoon
    • Journal of Information Technology Applications and Management
    • /
    • v.24 no.1
    • /
    • pp.33-43
    • /
    • 2017
  • The content curation service through big data analysis is receiving great attention in various content fields, such as film, game, music, and book. This service recommends personalized contents to the corresponding user based on user's preferences. The existing book curation systems recommended books to users by using bibliographic citation, user profile or user log data. However, these systems are difficult to recommend books related to character names or spatio-temporal information in text contents. Therefore, in this paper, we suggest a personalized book curation system based on integrated mining of a book. The proposed system consists of mining system, recommendation system, and visualization system. The mining system analyzes book text, user information or profile, and SNS data. The recommendation system recommends personalized books for users based on the analysed data in the mining system. This system can recommend related books using based on book keywords even if there is no user information like new customer. The visualization system visualizes book bibliographic information, mining data such as keyword, characters, character relations, and book recommendation results. In addition, this paper also includes the design and implementation of the proposed mining and recommendation module in the system. The proposed system is expected to broaden users' selection of books and encourage balanced consumption of book contents.

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.

A Study of Personalized Retrieval System through Society of Korean Journal Articles of Science and Technology (개인화 검색시스템에 관한 연구 - 과학기술학회마을을 중심으로 -)

  • Kim, Kwang-Young;Kwak, Seung-Jin
    • Journal of Korean Library and Information Science Society
    • /
    • v.41 no.1
    • /
    • pp.149-165
    • /
    • 2010
  • In this research, we analyze about the general service provided by Society of Korean journal articles of science and technology. Personalized retrieval services which are suitable to the articles service were developed based on this. That is, there are personalized retrieval system based on user's keyword, authors navigation system, automatic topic recommendation system based on author's keyword, and similar user automatic recommendation system. In this research, personalized service methods being suitable to the articles service of Society tries to be considered through the user survey.

  • PDF