• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.53-60
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• 2008

Recently, the application of internet services has been realized by effort for an offer of various informations and personalization services. So in this paper, we propose the web service application model for service integration and personalization based on internet multimedia subsystems. For this services integration and personalization, we need to establish a policy of supporting personalization service. And It's required to analyze information of service users and to extract the components for the personalization services. With the process, It will provide the efficient integration between the exist services and the external services and It can be realized detail services for personal with construction of new services model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.135-143
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• 2016

The purpose of this study is to investigate the user's attitude and usage of smart banking application in terms of user's benefits and personalization. While the prior researches on mobile banking adoption focus on the characteristics of service itself, this paper intends to investigate the smart banking application in terms of user's benefits, which are personal value consumers attach to the product or service attributes. Based on prior studies functional benefits, social benefits, experiential benefits, and personalization are identified as affecting factors of the user's attitude and usage of smart banking application. According to the results of multiple regression analysis, all benefit factors(functional benefit, experimental benefit, social benefit) and personalization were found to be significantly related to the user's attitude. Users' attitude on smart banking was found to be significantly related to the real usage as well. This paper has value in that it investigates the attitude and usage of smart banking in terms of benefits.

• The Journal of Information Systems
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• v.20 no.4
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• pp.145-162
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• 2011

Recently Micro-blog service is used quickly in our life with dissemination of Smart-phone. This study performed based on a view that there is a difference of user's intention to reuse Web-blogs & Micro-blogs. This study also based on the existing motive theory for using which considers five factors-information, entertainment, interaction, personalization, and convenience. The AMOS structure equation used for the analysis of users' revisit intention. The results of the study shows that Micro-blogs are influenced by entertainment, personalization, and convenience. On the other hand, Web-blogs are influenced by entertainment, and personalization.

• Asia pacific journal of information systems
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• v.17 no.1
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• pp.123-145
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• 2007

There are flourishing studies in the acceptance or usage of information systems literature. Most of them have taken the pro - acceptance view. Undesirably, information technologies often provoke users' reactance or resistance. This paper explores one of the negative reactions -psychological reactance. The present paper studies the effects of the users' perception of threatened freedom and personalization degree on intention to use recommendation services. High personalization can be a major motivation for users to accept recommendation systems. However recommendation services are a two-edged sword, which not only provides users the efficiency of decision making but also poses threats to free choice. When people consider that their freedom is reduced or threatened by others, they experience the motivational state to restore the freedom. This motivational state must be considered in understanding usage of information systems, especially personalized services which are designed for persuasion or compliance. This paper empirically investigates the effect of personalization and the psychological reactance on the intention to use information systems in the personalized recommendation context. Users' perception of personalization increases the usefulness of recommendation service while their perception of threat to freedom reduces the intention to use personalized recommendation service. Findings and implications are discussed.

• Journal of the Korean Society for information Management
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• v.20 no.4 s.50
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• pp.113-134
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• 2003

With SDI service provided in libraries and information centers traditionally, this paper studies component technologies and structure of system platform in PIS(personalization information service based on the customized information service served currently in some institutions. The PIS system should provide relevant information as an output through the learning system analyzing user information searching behavior as an input value with personal profile information. To do it, this paper studies requirements and algorithms to develop PIS, and proposes learning system and recommendation system as core components in PIS.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.309-315
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• 2012

The dissemination of smartphones is being spread and supplementary services using smartphones are increasing and various as the Mobile network and device are developing rapidly, so smartphones that enables to provide a wide range of services is expected to receive the most attention. It makes users listen to music anytime, anywhere in real-time, use useful applications, and access to Internet to search for information. The service environment is changing on PC into Mobile due to the change of the circumstance mentioned above. these services are done by using just location information rather than other context, and users have to search services and use them. It is essential to have Context-aware technology for personalization recommendation services and the appropriate representation and definition of Context information for context-aware. Ontology is possible to represent knowledge freely and knowledge can be extended by inferring. In addition, design of the ontology model is needed according to the purposes of utilization. This paper used context-aware technologies to implement a user personalization recommendation service. It also defined the context through OWL modeling for user personalization recommendation service and used inference rules and inference engine for context reasoning.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.263-270
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• 2020

The growth of the mobile app markets has made it popular among people who recommend relevant information about restaurants. The recommendation service app based on AI Chatbot is that it can efficiently manage time and finances by making it easy for restaurant consumers to easily access the information they want anytime, anywhere. Eating out consumers use smartphone applications for finding restaurants, making reservations, and getting reviews and how to use them. In addition, social attention has recently been focused on the research of AI chatbot. The Chatbot is combined with the mobile messenger platform and enabling various services due to the text-type interactive service. It also helps users to find the services and data that they need information tersely. Applying this to restaurant recommendation services will increase the reliability of the information in providing personal information. In this paper, an artificial intelligence chatbot-based smartphone restaurant recommendation app using personalization information is proposed. The recommendation service app utilizes personalization information such as gender, age, interests, occupation, search records, visit records, wish lists, reviews, and real-time location information. Users can get recommendations for restaurants that fir their purpose through chatting using AI chatbot. Furthermore, it is possible to check real-time information about restaurants, make reservations, and write reviews. The proposed app uses a collaborative filtering recommendation system, and users receive information on dining out using artificial intelligence chatbots. Through chatbots, users can receive customized services using personal information while minimizing time and space limitations.

• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.179-186
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• 2002

In the web, the Personalization considering individual's habits and tastes is attracting the internet service companies and internet users in order to realize a custom-oriented e-CRM. that is, the Personalization is leaping the new competitive strategy of e-business. In this thesis, first I studies on the Personalization which is the base of e-CRM emphasized the custom relationship in the internet. second, I researched the ways of marketing strategy to realize the Personalization using the e-CRM as well as the problems of Personalization based on the current one-to-one marketing. finally, I showed the new Personalization adopting permission marketing of Seth Godin the vice-chairman of marketing department in yahoo.com for the better e-CRM.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.2
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• pp.15-34
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• 2009

Today the u-government services are becoming more personalized and intelligent. For the successful implementation of personalization, individual user's privacy concerns must be respected and taken care of. Based on the empirical survey results, this research summarizes the reluctance to the government's use of private information using six categories. We measure user's psychological distance toward e-government using the four levels, adopting the suggestions by the Proxemics. Since a positive correlation is Identified between people's psychological Intimacy toward e-government and their tolerance to the use of private Information, the amount and/or types of private information should be sequentially used in personalization systems. Initially allowing the least intolerable private information such as occupation information, the personalization system should additionally use the next tolerable Information such as health information or service request/interest information, as user's psychological distance toward government services becomes shorter.

• Journal of the Korea Safety Management & Science
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• v.5 no.3
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• pp.107-119
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• 2003

Expectation and interest about e-CRM are rising for more efficient customer management in on-line including electronic commerce. The decision-making tree can be used usefully as the data mining technology for e-CRM. In this paper, the representative decision making techniques, CART, C4.5, CHAID analyzed the differences in personalization point of view with actuality customer data through an experiment. With these analysis data, it is proposed a new decision-making tree system that has big advantage in personalization techniques. Through new system, it can get following advantage. First, it can form superior model more qualitatively in personalization by adding individual's weight value. Second it can supply information personalized more to customer. Third, it can have high position about customer's loyalty than other site of similar types of business. Fourth, it can reduce expense that cost marketing and decision-making. Fifth, it becomes possible that know that customer through smooth communication with customer who use personalized service wants and make from goods or service's quality to more worth thing.