• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.592-600
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• 2004

A recommendation system, which is an application area of e-CRM in e-commerce environment, provides individualized goods recommendation service that meets the demand of individual users. In general, existing recommendation systems require extensive historic user information in application domains. However, the method of recommendation based on static historic user information needs to respond flexibly to users'demand that changes rapidly and sensitively over time and in domains including a variety of users. In addition, it is difficult to recommend for new users who are not fall into any of existing domains. To overcome such limitations and provide flexible recommendation service, this study designed and implemented CPAR (Customer Preference Analysis Recommender) system that supports customer preference analysis and filter management. The filtering management capacity of the present system eases the necessity of extensive information about new users. In addition, CPAR system was implemented in XML-based wireless Internet environment for recommendation service independent from platforms and not limited by time and place.

• Archives of design research
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• v.19 no.3 s.65
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• pp.19-30
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• 2006

This study was carried out to present design guidelines for developing electric bikes which could be used for more users regardless of gender and age. Through a survey with 336 male and female respondents in Seoul aged between 10s and 70 years or older, the convenience of bicycle use and image preference by gender and age were investigated. To evaluate convenience of bicycle use, the 7 principles of universal design made by Universal Design Center were customized to fit for accessing bicycles. The following are results of statistical analysis on 301 valid data: (1) of the 7 principles, conventional bicycles were identified to be the most inconvenient in principle 6(low physical effort), followed by in principle 5(tolerance for error) and 7(size and space for approach and use). Women appeared to feel more inconvenience than men in all evaluation criteria while using bicycles. The relation between the convenience of use and users' age was not identified. (2) Preferred images by bicycle users turned out to be those of 'simple' and 'light.' By gender, male preferred more 'technical' and 'dynamic' images than female. By age, users in their 10s-20s preferred more 'individual' image than 70 years or older.

• The Journal of the Korea Contents Association
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• v.4 no.1
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• pp.83-89
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• 2004

Instant messaging(IM) service is one of the useful communication means in the Intemet for exchanging simple messages between users. Usually, IM service is coupled with Presence service which provides status information of users. In this case, instant messages are sent and received directly between on-line users. Therefore, messages could not be exchanged when users are in off-line state. In this paper, We have implemented SIP based Instant Messaging System which includes message server that can store and manage instant messages. With this message server, messages could be exchanged legalness of user states. Furthermore, our system includes message waiting indication event package which provides useful informations about messages in the message server. And this system also includes the Caller Preference capabilities.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.1
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• pp.13-20
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• 2011

LBS services is a user-centric location based information service, where its importance has been discussed as an essential engine in an Ubiquitous Age. We aimed to develop an ontology reasoning system that enables users to derive recommended results suitable through selection standard reasoning according to various users' preferences. In order to achieve this goal, we designed the Geo-ontology system which enabled the construction of personal characteristics of users, knowledge on personal preference and knowledge on spatial and geographical preference. We also integrated a function of reasoning relevant information through the construction of Cost Value ontology using multi-criteria decision making by giving weight according to users' preference.

• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1499-1511
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• 2022

In the context of globalization, circulation between cities has become more frequent. The airport is no longer just a place for boarding, disembarking, and transportation, but a public place that serves as the communication function of the "aviation city". The intervention of public art in the airport space not only gives users a sense of space experience, but also becomes a unique carrier for city and country image shaping. The purpose of this paper is to study the emotional value brought by airport public art to users, and to investigate the correlation analysis of public art design elements and user preferences based on this premise. The research methods are machine learning method and SPSS 21.0. The user's emotional value is introduced in the big data evaluation, and the preference and inclination of airport users to various elements of public art are analyzed by questionnaire. Through the research conclusion, the preference and main contradiction of users in the airport for the four dimensions of public art design elements are obtained. Opinions and optimization methods to provide reference data and theoretical support for public art design.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.190-191
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• 2005

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.323-330
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• 2004

As mobile market grows more and more fast, the mobile contents market, especially music contents for mobile phones have recorded remarkable growth. In spite of this rapid growth, mobile web users experience high levels of frustration to search the desired music. New musics are very profitable to the content providers, but the existing collaborative filtering (CF) system can't recommend them. To solve these problems, we propose an extended CF system to reflect the user's real preference by representing the characteristics of users and musics in the feature space. We represent the musics using the music contents based acoustic features in multi-dimensional feature space, and then select a neighborhood with the distance based function. Furthermore, this paper suggests a recommendation for procedure for new music by matching new music with other users' preference. The suggested procedure is explained step by step with an illustration example.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• Journal of Information Science Theory and Practice
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• v.1 no.2
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• pp.69-83
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• 2013

This paper aims to determine the preference and use of electronic information and resources by blind/visually impaired users in the leading National Capital Region (NCR) libraries of India. Survey methodology has been used as the basic research tool for data collection with the help of questionnaires. The 125 in total users surveyed in all the five libraries were selected randomly on the basis of willingness of the users with experience of working in digital environments to participate in the survey. The survey results were tabulated and analyzed with descriptive statistics methods using Excel software and 'Stata version 11'. The findings reveal that ICT have a positive impact in the lives of people with disabilities as it helps them to work independently and increases the level of confidence among them. The Internet is the most preferred medium of access to information among the majority of blind/visually impaired users. The 'Complexity of content available on the net' is found as the major challenge faced during Internet use by blind users of NCR libraries. 'Audio books on CDs/DVDs and DAISY books' are the most preferred electronic resources among the majority of blind/visually impaired users. This study will help the library professionals and organizations/institutions serving people with disabilities to develop effective library services for blind/visually impaired users in the digital environment on the basis of findings on information usage behavior in the study.

• Journal of Advanced Navigation Technology
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• v.15 no.5
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• pp.925-930
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• 2011

In this paper, we propose a method to apply the purchase preference of a user in on-line shopping mall. To analyze the preference, we use topic preference vector. The topic is purchase count of products. In this structure, we construct the association the four factors; Purchase Hit meaning the purchase count of product, Count meaning the purchase count by other users in interesting product, Preference meaning product preference, and product meaning information of the product. By this structure and the method, we could show that proposed method displayed the product applying user preference, effectively.