• Title/Summary/Keyword: personalization

Search Result 605, Processing Time 0.03 seconds

A Personalized Recommendation Methodology based on Collaborative Filtering (협업 필터링 기법을 활용한 개인화된 상품 추천 방법론 개발에 관한 연구)

  • Kim, Jae-Kyeong;Suh, Ji-Hae;Ahn, Do-Hyun;Cho, Yoon-Ho
    • Journal of Intelligence and Information Systems
    • /
    • v.8 no.2
    • /
    • pp.139-157
    • /
    • 2002
  • The rapid growth of e-commerce has made both companies and customers face a new situation. Whereas companies have become to be harder to survive due to more and more competitions, the opportunity for customers to choose among more and more products has increased. So, the recommender systems that recommend suitable products to the customer have an important position in E-commerce. This research introduces collaborative filtering based recommender system which helps customers find the products they would like to purchase by producing a list of top-N recommended products. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is used to select target customers, who have high possibility of purchasing recommended products. We applied the recommender system to a Korean department store. The methodology is evaluated with the analysis of a real department store case and is compared with other methodologies.

  • PDF

A Method on Retrieving Personalized Information Based on Mutual Trust in Real and Online World (현실과 가상 세계에서 상호 신뢰도에 기반한 개인화 정보의 식별 방법)

  • Kim, Myeonghun;Kim, Sangwook
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.6 no.5
    • /
    • pp.257-266
    • /
    • 2017
  • Two remarkable problems of recent online social network are information overflow and information overload. Since the mid-1990s, many researches to overcome these issues have been conducted with information recommender systems and context awareness based personalization techniques, the importance of trust or relationship between users to discover influential information has been increasing as recent online social networks become huge. But almost researches have not regarded trust or relationship in real world while reflecting them in online world. In this paper, we present a novel method how to discover influential and spreadable information that is highly personalized to a user. This valuable information is extracted from an information set that consists of lots of information user missed in the past, and we assumes important information is likely to exist in this set.

Pre-Processing of Query Logs in Web Usage Mining

  • Abdullah, Norhaiza Ya;Husin, Husna Sarirah;Ramadhani, Herny;Nadarajan, Shanmuga Vivekanada
    • Industrial Engineering and Management Systems
    • /
    • v.11 no.1
    • /
    • pp.82-86
    • /
    • 2012
  • In For the past few years, query log data has been collected to find user's behavior in using the site. Many researches have studied on the usage of query logs to extract user's preference, recommend personalization, improve caching and pre-fetching of Web objects, build better adaptive user interfaces, and also to improve Web search for a search engine application. A query log contain data such as the client's IP address, time and date of request, the resources or page requested, status of request HTTP method used and the type of browser and operating system. A query log can offer valuable insight into web site usage. A proper compilation and interpretation of query log can provide a baseline of statistics that indicate the usage levels of website and can be used as tool to assist decision making in management activities. In this paper we want to discuss on the tasks performed of query logs in pre-processing of web usage mining. We will use query logs from an online newspaper company. The query logs will undergo pre-processing stage, in which the clickstream data is cleaned and partitioned into a set of user interactions which will represent the activities of each user during their visits to the site. The query logs will undergo essential task in pre-processing which are data cleaning and user identification.

A Study of 3D Printing of Self-Customization Cast by Using Fused Deposition Modeling Technique of ABS Resin (ABS 수지의 용융적층조형방식에 의한 자가 맞춤형 부목의 3차원 출력 사례 연구)

  • Seoung, Youl-Hun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.16 no.9
    • /
    • pp.6019-6026
    • /
    • 2015
  • In this study, we have tried to use 3D-printing technology, which is very useful for small amount production and individual personalization manufacturing to produce a cast customized by individual. To do this, we have made casts by the 3D printer in the method of fused deposition modeling technique using ABS(acrylonitrile butadiene styrene) resin which is thermoplastic plastics. The computed tomography of human hand part was used as the modeling of the cast and it was designed to circulate air well. As a result, an individual personalized cast that fitted well with the model part was produced. In addition, we could get more excellent radiography from the cast than the existing cast. In conclusion, this study of 3D-printing could be used as basic data when a similar designed structure in fused deposition modeling technique by ABS resin is printed out.

Multiagent-based Intellignet Electronic Commerce System (다중에이저트 기반의 지능형 전자상거래 시스템)

  • Lee, Eun-Seok;Lee, Jin-Goo
    • The KIPS Transactions:PartC
    • /
    • v.8C no.6
    • /
    • pp.855-864
    • /
    • 2001
  • With the increasing importance and complexity of EC (Electronic Commerce) across the Internet, the need and expectation for intelligent software agents to support both consumers and suppliers through the whole process of EC are growing rapidly. To realize the intelligent EC. a multiagent based EC system. which includes foundational technologies such as the establishment of standard product ontology the definition of message and negotiation protocol and brockering, is required. In this paper we propose an intelligent EC System named ICOMA(Intelligent electronic CO mmerce system based on Multi-Agent) as an open infrastructure of multiagent-based EC. Concretely we have proposed. designed and implemented an architecture of multiagent-based EC system including 6-types of agents message protocol for inter-agent negotiation, personalized produst retrieval and filtering., We have confirmed the effectiveness of the system through experiments.

  • PDF

A Personalized Retrieval System Based on Classification and User Query (분류와 사용자 질의어 정보에 기반한 개인화 검색 시스템)

  • Kim, Kwang-Young;Shim, Kang-Seop;Kwak, Seung-Jin
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.43 no.3
    • /
    • pp.163-180
    • /
    • 2009
  • In this paper, we describe a developmental system for establishing personal information tendency based on user queries. For each query, the system classified it based on the category information using a kNN classifier. As category information, we used DDC field which is already assigned to each record in the database. The system accumulates category information for all user queries and the user's personalized feature for the target database. We then developed a personalized retrieval system reflecting the personalized feature to produce search result. Our system re-ranks the result documents by adding more weights to the documents for which categories match with the user's personalized feature. By using user's tendency information, the ambiguity problem of the word could be solved. In this paper, we conducted experiments for personalized search and word sense disambiguation (WSD) on a collection of Korean journal articles of science and technology arena. Our experimental result and user's evaluation show that the performance of the personalized search system and WSD is proved to be useful for actual field services.

Design of a Personalized Web Mining System Using a Sequence Association Rule (스퀀스 연관규칙을 이용한 개인화 웹 마이닝 설계)

  • Yun, Jong-Chan;Youn, Sung-Dae
    • Journal of Korea Multimedia Society
    • /
    • v.10 no.9
    • /
    • pp.1106-1116
    • /
    • 2007
  • Recently e-commerce trade on the web has grown rapidly in scale and complexity, just as web site designs and web servers have become more complicated. In view of these complexities, it is obviously difficult to analyse web user's data since they web users employ so many different web paths. The existing association rule investigation algorithms identify all items with a high correlation. However even though users often only want to find items in which they have interest, it is still difficult to find the rules they want out of all of the many association rules found by existing algorithms. In this paper, we propose a system linking each node with the sequence association rule, linking all routes after finding a path corresponding to a user with the association rule-one of the data mining techniques which identify user patterns in web user paths. The suggested system helps us construct individualized or customer-subdivided sites using the sequence association rule in order to harmonize the paths of web users with user characters.

  • PDF

Customized Digital TV System for Individuals/Communities based on Data Stream Mining (데이터 스트림 마이닝 기법을 적용한 개인/커뮤니티 맞춤형 Digital TV 시스템)

  • Shin, Se-Jung;Lee, Won-Suk
    • The KIPS Transactions:PartD
    • /
    • v.17D no.6
    • /
    • pp.453-462
    • /
    • 2010
  • The switch from analog to digital broadcast television is extended rapidly. The DTV can offer multiple programming choices, interactive capabilities and so on. Moreover, with the spread of Internet, the information exchange between the communities is increasing, too. These facts lead to the new TV service environment which can offer customized TV programs to personal/community users. This paper proposes a 'Customized Digital TV System for Individuals/Communities based on Data Stream Mining' which can analyze user's pattern of TV watching behavior. Due to the characteristics of TV program data stream and EPG(electronic program guide), the data stream mining methods are employed in the proposed system. When a user is watching DTV, the proposed system can control the surrounding circumstances as using the user behavior profiles. Furthermore, the channel recommendation system on the smart phone environment is proposed to utilize the profiles widely.

A Study On Analysis of Interestingness for Web-pages (웹페이지 관심도 분석에 관한 연구)

  • Kim, Chang-Geun;Jung, Youn-Hong;Kim, Il
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.11 no.4
    • /
    • pp.687-695
    • /
    • 2007
  • There has been increasing of using Internet shopping mall like an e-business, and it means that the analysis technique of appetence for webpase visitors logging into the case of analyzing the degree of concern and using them in the personalization has been absolutely advanced. For heavy web pages, it is impossible to use click-stream based analysis in analyzing interest for each area by what kind of information the visitors are interested in to. A web browser of a limited size has difficulty in expressing on a screen information about what they want, or what hey are looking for. Pagescrolling is used to overcome such a limitation in expression. In this study, a analyzing system of degree of concern for Webpage is presented, designed and implemented using page scrolling to track the position of the scroll bar and movements of the window cursor regularly within a window browser for real-time transfer to analyze user's interest by using information received from the analysis of the visual perception area of the web page.

User Experience and Satisfaction of Augmented Reality Applications -Focused on Chinese Fashion Consumers (증강현실 어플리케이션의 사용자 경험과 만족도 연구 -중국의 패션 소비자를 중심으로)

  • Chen, Qian-Qian;Dai, Ming-Yue;Park, Hyun-Jung
    • Journal of Digital Convergence
    • /
    • v.17 no.10
    • /
    • pp.159-167
    • /
    • 2019
  • This study investigated the factors affecting the satisfaction of augmented reality (AR) fashion application focusing on user experience. The survey was conducted on 280 Chinese users who had used AR fashion applications. The results are summarized as follows. User experience had a significant effect on presence, flow, and satisfaction. Personalization service also increased user satisfaction. Presence influenced flow which enhanced satisfaction, indicating that presence had an indirect effect on satisfaction through flow. The results are expected to provide strategic implications by identifying factors that should be considered to help consumers experience products and improve satisfaction with applications in various industries focusing on augmented reality technology.