• Convergence Security Journal
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• v.8 no.4
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• pp.167-179
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• 2008

As ubiquitous technology develops, there are many studies to provide various contents proper to users through a mobile device. However, there is a limit of information provision due to a small user interface of a mobile device. This study proposes a system that can solve a problem and provide an intelligent agent model appropriate to a mobile environment and job information positively that an individual user is interested. It is composed of a personalization engine to monitor users' behavior patterns and a learning algorithm to provide information to a mobile device. Analysis shows that preferred job items are different by sex, age and education, while a region affects job searching significantly.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.31-45
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• 2023

This study deals with exploring qualitative steps and paths that appear as YouTube users' usage time increases quantitatively. For the study, I applied theories from psychology and neuroscience, subdivided the interval between the personalization algorithm of the recommendation system, and active use and analyzed the relationship between variables in this process. According to the theory behavioral model theory (FBM), variable reward, and dopamine addiction were applied. Personalization algorithms easy clicks as triggers according to associated content presentation functions in behavioral model theory (FBM). Variable rewards increase motivational effectiveness with unpredictability of the content you search, and dopamine nation is summarized as stimulating the dopaminergic nerve to continuously and actively consume content. This study is expected to make an academic and practical contribution in that it divides the purpose of use of content in the personalization algorithm and active use section into four stages from a psychological perspective: first use, reuse, continuous use, and active use, and analyzes the path.

• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.219-226
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• 2011

Web personalization has focused on extracting web pages interesting to users, to help users searching wanted information efficiently on the web. One of the main methods to achieve this is by using queries, links and users' preferred words in the pages. In this study, we surveyed from the web users the features of pages that are considered important to themselves in selecting web pages. The survey results showed that the content of the pages is the most important. However, images and readability of the page are rated as high as the content for some users. Based on this result, we present a method for maintaining relative weights of major page features differently in the profile for each user, which is used for personalizing web search results. Performance of the proposed personalization method is analyzed to prove its superiority such that it yields as much as 1.5 times higher rate than the system utilizing both queries and preferred words and about 2.3 times higher rate than a generic search engine.

• Asia pacific journal of information systems
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• v.27 no.2
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• pp.126-138
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• 2017

The proliferation of items increased the difficulty of customers in finding the specific items they want to purchase. To solve this problem, companies adopted recommender systems, such as collaborative filtering systems, to provide personalization services. However, companies use only meaningful and essential data given the explosive growth of data. Some customers are concerned that their private information may be exposed because CF systems necessarily deal with personal information. Based on these concerns, we analyze the effects of the amount of information on recommendation performance. We assume that a customer could choose to provide overall information or partial information. Experimental results indicate that customers who provided overall information generally demonstrated high performance, but differences exist according to the characteristics of products. Our study can provide companies with insights concerning the efficient utilization of data.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.87-114
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• 2000

• Journal of Korean Library and Information Science Society
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• v.33 no.3
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• pp.193-214
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• 2002

This study examines the background of the PDL(Personal Digital Library) as well as a conceptual understanding of the PDL in knowledge-based society. Recent case studies are also included. The chief concepts of the PDL are Systems(Digital Library, Knowledge Management System, Internet Portal Site), Models of knowledge, and personalization. The findings in this study are as follows. \circled1 We must find the meaning in the change of a society environment in which the personalization happens. \circled2 The contents must not be restricted. \circled3 The system is to satisfy requirements of the individual. \circled4 The GNU General Public License is a system development method for the PDL.

• The Journal of Information Systems
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• v.32 no.2
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• pp.63-85
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• 2023

Purpose According to a recent survey, more than 90% of customers make purchase or use decisions for their products and services, primarily based on word-of-mouth(WOM) information (reviews, recommendations, ratings, etc.). However, few studies have explored what factors influence user's WOM intention in the context of OTT service. To address this gap, this study investigates the antecedent factors of WOM intention by adopting stimulus-organism-response (SOR) theory and pleasure arousal dominance (PAD) theory as a theoretical basis. Design/methodology/approach The research model consists of stimulus factors (diversity of original content, aesthetics, interactivity, personalization quality), emotional factors (pleasure, excitement, dominance), and behavioral factor (WOM intention). The research hypothesis was tested using the survey data collected from OTT service users of 305. Findings The result reveals that diversity of original content significantly affects on pleasure and arousal whereas it is not associated with dominance. Findings indicate that aesthetics positively influences pleasure, and interactivity is not associated with arousal. It is also proven that personalization quality has a positive effect on dominance. In addition, pleasure, arousal, and domination are proven to be positively and significantly related to WOM intention.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.3
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• pp.75-91
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• 2005

The popularization of the internet has produced an explosion in amount of the information. The importance of web personalization is being more and more increased. The personalization is realized by learning user's interest. User's interest is changing continuously and rapidly. We use user's profile to represent user's interest. User's profile is updated to reflect the change of user's interest. In this paper we present an adaptive learning algorithm that can be used to reflect user's interest that is changing with time. We propose the User's profile model. With this profile user's interest is learned based on user's feedback. This approach has applied to develop hybrid recommendation system.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.376-388
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• 2019

One important online marketing practice to emerge in recent years is online behavioral advertising. Online behavioral advertising entails a range of issues, including the following: personal information collection and usage agreements (three conditions: no agreement, agreement, or agreement with a reward), consumers' levels of perceived personalization (low vs. high), and consumers' level of online privacy concerns (low vs. high). The effects of all these is what this study is designed to examine, as it evaluates online behavioral advertising. Study findings suggest that types of information collection and usage agreement play a pivotal role in the evaluation of online behavioral ads. Individuals who provided the informed consent form with the possible reward had a more favorable attitude toward the brand than individuals who provided the informed consent form without a possible reward. In terms of personalization, the level of perceived personalization of the advertising message impacted consumers' attitudes toward the online behavioral ad and toward the brand. Finally, online privacy concerns appear to impact consumers' attitudes toward the online behavioral ad and toward the brand. Theoretical and practical implications are also discussed.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.115-119
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• 2007

Huge amount of useful information is getting added to the academic digital world everyday, This digitalized information is heterogeneous and remained limited to a local domain only. How to integrate and share this scattered knowledge with simplicity remained a big challenge. In this paper, we propose a prototype of web application for accomplishing above task using web 2.0 features; it makes traditional academic digital libraries to form as a special case of collaborative environment. This application enables users to customize their own resources to form their own virtual digital library. Further users can utilize personalized information of other users working in similar research domain to form true collaborative environment. The model and framework for the new look of academic digital library is presented.