• Title/Summary/Keyword: User Interest

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Design of Web Agent Using User Profile and Automatic Document Categorization (사용자 정보와 자동 문서 분류를 이용한 웹 에이전트의 설계)

  • Lee, Seung-Won;Kwon, Young-Hoon;Ryu, Je;Han, Kwang-Rok
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.407-410
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    • 1999
  • WWW is an important method for retrieving or providing informations. Not only the amount of information but also it is widely located on the web, it is difficult for users to get or search information. Furthermore, to use search engine is also inconvenient, because it just uses a keyword without concerning a user's interest. At this point, we propose a design of web agent that uses the automatic document categorization system and user's profile concerning with a user's interest, so the agent can actively provide a information.

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Smart space framework providing dynamic embedded intelligent information (사용자 맞춤 동적 지능형 환경을 제공하는 스마트 공간 프레임워크)

  • Jang, SeoYoon;Kang, JiHoon
    • Smart Media Journal
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    • v.10 no.2
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    • pp.92-99
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    • 2021
  • Smart space is a technology that supports humans by interacting with the surrounding environment. Smart space has a built-in dynamic intelligent environment. This paper proposes a framework that provides user-customized dynamic intelligent environments in smart spaces. In the existing research that provides user-customized intelligent services, users' interests are only explicitly analyzed, and smart spaces are not considered. Implicit interest analysis can suggest a service that may be of interest to users rather than explicit interest analysis, but it requires higher performance than explicit interest analysis. Smart spaces can obtain useful information by interacting with information in the space. The framework proposed in the study uses a proximity-based social network of things to fit into a smart space. In addition, the implicit interest analysis provides intelligent information for smart spaces using the social media information and spatial information objects. In addition, we propose a method to prevent performance degradation while maintaining accuracy in consideration of the characteristics of the smart space.

Multi-perspective User Preference Learning in a Chatting Domain (인터넷 채팅 도메인에서의 감성정보를 이용한 타관점 사용자 선호도 학습 방법)

  • Shin, Wook-Hyun;Jeong, Yoon-Jae;Myaeng, Sung-Hyon;Han, Kyoung-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.1
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    • pp.1-8
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    • 2009
  • Learning user's preference is a key issue in intelligent system such as personalized service. The study on user preference model has adapted simple user preference model, which determines a set of preferred keywords or topic, and weights to each target. In this paper, we recommend multi-perspective user preference model that factors sentiment information in the model. Based on the topicality and sentimental information processed using natural language processing techniques, it learns a user's preference. To handle timc-variant nature of user preference, user preference is calculated by session, short-term and long term. User evaluation is used to validate the effect of user preference teaming and it shows 86.52%, 86.28%, 87.22% of accuracy for topic interest, keyword interest, and keyword favorableness.

Content-Based Retrieval for Region of Interest Using Maximum Bin Color (최대 빈 색상 정보를 이용한 관심영역의 검색)

  • 주재일;이종설;조위덕;문영식
    • Proceedings of the IEEK Conference
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    • 2002.06c
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    • pp.207-210
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    • 2002
  • In this paper, content-based retrieval for region of interest(ROI) has been described, using maximum bin color. From a given query image, the object of interest is selected by a user. Using maximum bin color of the selected object, candidate regions are extracted from database images. The final regions of interest are determined by comparing the normalized histograms of the selected object and each candidate region.

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Design and Implementation of Personalized News Recommendation System Considering User Reading Habit under Smartphone Environment (스마트폰 환경에서 기사 읽기 습관 고려한 뉴스 추천 시스템 설계 및 구현)

  • Song, Teuk-Seob
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1628-1633
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    • 2014
  • In this paper, we propose a news article recommendation system that reflects users' areas of interest and reading habits. Users can select interesting subject then our proposed system displays interesting articles above the other articles. Also the proposed system reflects users' dynamic interests using analyse of user's reading habits. The method of dynamic interest applies the different weight values from users simply clicking and reading entire articles. When users read articles from specific areas, the prosed system increases the weight of these specific areas using XML structure information. Hence users can read their articles of interest with ease.

Product Adoption Maximization Leveraging Social Influence and User Interest Mining

  • Ji, Ping;Huang, Hui;Liu, Xueliang;Hu, Xueyou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2069-2085
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    • 2021
  • A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

A Context-aware Mobile Augmented Reality Platform (상황인지 기반 모바일 증강현실 플랫폼)

  • Kim, Byung-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.1
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    • pp.205-211
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    • 2012
  • In this paper, we proposed a context-aware augmented reality platform for mobile augmented reality to support user-oriented virtual world information for smartphone user. We designed the platform architecture and 6 subsystems which are derived from the analysis of existing augmented reality applications and platforms. The proposed architecture includes a context reasoning service subsystem for the context-aware information filtering, and separates the inner platform from the outer virtual world network containing virtual information to resolve interoperability issue of POI(Points of Interest) data.

A Simulation Model of Object Movement for Evaluating the Communication Load in Networked Virtual Environments

  • Lim, Mingyu;Lee, Yunjin
    • Journal of Information Processing Systems
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    • v.9 no.3
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    • pp.489-498
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    • 2013
  • In this paper, we propose a common simulation model that can be reused for different performance evaluations of networked virtual environments. To this end, we analyzed the common features of NVEs, in which multiple regions compose a shared space, and where a user has his/her own interest area. Communication architecture can be client-server or peer-server models. In usual simulations, users move around the world while the number of users varies with the system. Our model provides various simulation parameters to customize the region configuration and user movement pattern. Furthermore, our model introduces a way to mimic a lot of users in a minimal experiment environment. The proposed model is integrated with our network framework, which supports various scalability approaches. We specifically applied our model to the interest management and load distribution schemes to evaluate communication overhead. With the proposed simulation model, a new simulation can be easily designed in a large-scale environment.

An Architecture for Collecting User Interest Information in Offline (오프라인에서 사용자 관심정보 수집을 위한 아키텍쳐)

  • Kim, Chul-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.7
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    • pp.441-447
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    • 2017
  • In order to provide personalized services on the Web and for mobile services, it is necessary to collect and analyze information processed by users. Typically, information collected by users is managed online. Using information collected online may be sufficient to provide personalized service. However, in terms of O2O services, which are currently mixed with online and offline services, user information from the offline service can also be an important part of personalized service. Therefore, this study suggests an architecture to collect offline user information to provide more precise personalization services. The collection architecture includes Node Analyzer, Distance Checker, Holding Time Checker, and Cross Analyzer as core elements. This study also offers proposals for processing algorithms of key components that make up the proposed architecture. A case study collects user information of interest based on BLE in order to verify the proposed architecture and algorithms.

A study on the attribute of infotainment design (인포테인먼트 디자인의 개념 연구)

  • Oh, Byung-Keun
    • Archives of design research
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    • v.19 no.2 s.64
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    • pp.229-240
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    • 2006
  • It is very important issue in information design to improve information efficiency by adapting interesting factors in changing circumstance of information communication. The concept of infotainment is utilized in designing information contents in a way of combining entertainment factors with information itself based on various media and representation technologies. The information arousing user's attention, which includes interesting factors, is persuasive message comppared to the informative message conveying only information itself. The reason why infotainment is persuasive is because it makes the user absorb deeply in the information during the process of understanding by sensorial stimuli, cognitive interest, and situational interest. The sensorial stimuli originates from the expression elements of information design. The cognitive interest from the user's intellectual activities has a try to overcome mental block when user confronts with the redundant expression in the manner of unexpectedness and inharmony. The situational interest originates from user's optimum experience by the flow of satisfaction. Therefore, the attribute of infotainment is defined with the stimuli, the redundancy, and user's satisfaction. Its design elements consist of physical factors, organizational factors, and psychological factors. The physical factors through sensorial stimuli are utilized by visual manipulation such as visual analogy or visual pun, multimedia, and moving expression. The organizational factors through redundant expression bring user's imagination by adapting storytelling, event, and interaction in the process of understanding information. The psychological factors through expression of entertainment interests such as humor, play, and game give users psychological satisfaction with the flow. In conclusion the concept of infotainment can be adapted when the design factors should be integrated with its attributes, or the conveying information should go well with its purpose and characteristics.

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