• The Journal of the Korea Contents Association
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• v.9 no.11
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• pp.80-89
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• 2009

The importance of personalized services has been attracted in smart home environments according to the development of ubiquitous computering. In this paper, we proposed the smart home personalized service system based on context information using the speech recognition. The proposed service consists of an OSGi framework based service mobile manager, service manager, voice recognition manager, and location manager. Also, this study defines the smart home space and configures the commands of units, sensor information, and user information that are largely used in the defined space as context information. In particular, this service identifies users who exist in the same space that shows a difficulty in the identification using RFID through the training model and pattern matching in voice recognition and supports the personalized service of smart home applications. In the results of the experiment, it was verified that the OSGi based automated and personalized service can be achieved through verifying users in the same space.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.287-314
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• 2022

The purpose of this study was to present a content curation strategy of the university library to support user learning and research. As a method to achieve the purpose of the study, first, the concept of content curation was examined through literature research. After that, implications were found by analyzing the cases of content curation services such as university libraries, national libraries, and content companies. As a result of the study, five strategies for successful content curation of university libraries were proposed: providing high quality contents, performing preemptive information service roles, keep content up to date, securing interactivity through user participation, and developing personalization algorithms.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.535-542
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• 2023

This study attempted to identify various variables that affect satisfaction and continued use intention of the subscription economy services. Through previous research studies, individual characteristics and service characteristic variables were considered together. Finally, use motivation, platform characteristic factors, and product and service characteristic factors were classified and examined. As a result of the study, the motive for using the service that affects the satisfaction of the subscription economy service was found to be functional hedonic, and economic motive, and platform recency and convenience, economic utility, and perceived personalization had a positive effect. Functional and hedonic motives and convenience showed positive influences on continued use intention, while social motives showed negative influences. In addition, it was confirmed that economic motivation, platform recency, economic utility, and perceived personalization showed a positive influence on the intention to continued use intention by mediating satisfaction with subscription economy services.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.37-45
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• 2015

With advancement in information technologies and a better mobile environment, the paradigm of service is shifting again from web portals to networked-applications based on individual application programs. Furthermore, as more investment is being made in R&D, the efforts to enhance R&D productivity are becoming important. In this paper, we designed a personalized service model for developing a tool to assist researchers in their R&D activities. To do this, we first compared services and tools in terms of information activities of researchers in R&D. In addition, we also analyzed changes of information environment such as open expansion of information and data, enhancement of personal information protection, popularization of social networking service, very big contents, advances in web platform technology in terms of personalization, and defined some directions of developing a personalized service. Subsequently we designed a personalized service model of research support tool in the views of functions, contents, operation, and defined personalized design goals and principles for implementing it as standard, participation, and open.

• Korean Management Science Review
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• v.17 no.3
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.301-307
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• 2012

The development of mobile devices and the spread of wireless network help share and exchange information and resources more easily. The bond them to Cloud Computing technology help pay attention to "Mobile Cloud" service, so there have been being a lot of studies on "Mobile Cloud" service. Especially, the important of 'Personalization Service' which is customized for each user's preference and context has been increasing. In order to provide appropriate personalization services, it enables to recognize user's current state, analyze the user's profile like user's tendency and preference, and draw the service answering the user's request. Most existing frameworks, however, are not very suitable for mobile devices because they were proposed on the web-based. And other context information except location information among user's context information are not much considered. Therefore, this paper proposed the context-aware framework, which provides more suitable services by using user's context and profile.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.183-191
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• 2017

In order to secure the convenience of information retrieval by users of scientific information service platforms and to reduce the time required to acquire the proper information, this study proposes an optimized content recommendation algorithm among the algorithms that currently provide service menus and content information for each service, and conducts comparative evaluation on the results. To enhance the recommendation accuracy, users' major items were added to the original algorithm, and performance evaluations on the recommendation results from the original and optimized algorithms were performed. As a result of this evaluation, we found that the relevance of the content provided to the users through the optimized algorithm was increased by 21.2%. This study proposes a method to shorten the information acquisition time and extend the life cycle of the results as valuable information by automatically computing and providing content suitable for users in the system for each service menu.

• The Journal of Information Systems
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• v.29 no.4
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• pp.25-43
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• 2020

Purpose The purpose of this study is to gradually increase the use of O2O services in recent years. It is a part of our daily lives, and accommodation/leisure is a part of the growing use of O2O services. Based on various prior research related to O2O service, the Commission intends to establish the justification and necessity of empirical research and to establish the relationship between O2O service impact factors and practical value, customer satisfaction and reuse intention. Design/methodology/approach This study analyzed what factors affected the intention of re-use of domestic accommodation O2O services. This research model was proposed based on the preceding research paper, and reliability, diversity, economics, leisure, safety and personalization were used as independent variables, practical value and customer satisfaction are parameters, and reuse intent is composed of dependent variables. Within the last year, users of domestic accommodation applications were selected as users who used domestic accommodation applications more than once, and data of domestic accommodation application users were analyzed using the SPSS 25.0 and AMOS 20.0 programs. Findings The results of this study show that economic efficiency, safety and personalization have significant effects on practical values in the relationship between O2O service impact factors and their impact on practical values. On the other hand, reliability, diversity and leisure were found to have no significant impact on practical values. In terms of O2O service impact factors and their impact on customer satisfaction, leisure and safety have significant effects on customer satisfaction. On the other hand, reliability, diversity, economics, and individualization have shown no significant impact on customer satisfaction. Practical values, parameters, customer satisfaction, and re-use intent, which are dependent variables, were also shown to have significant effects on practical values and customer satisfaction in the relationship.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.104-110
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• 2023

In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

• Science of Emotion and Sensibility
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• v.9 no.spc3
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• pp.179-185
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• 2006

This study examines and compares various recommendation techniques which have been used successfully in other fields and seeks for opportunity to improve design personalization service more effectively. Throughout the literature study, several major recommendation techniques were identified, namely 'contents-based filtering', 'collaborative filtering', and 'demographic filtering'. In order for finding out relative advantages and disadvantages, a case study was carried out by applying different techniques. The result showed that in general, demographic filtering was evaluated least efficient among the techniques. Content-based filtering showed the best efficiency among them. Another significant finding was that the collaborative filtering had a better efficiency as the number of test subjects is increased. In conclusion, we suggest that design recommendation services can be improved by applying contents-based or collaborative filtering for better efficiency of recommendation. And, if the number of test subjects is large enough, it may be possible to remarkably improve the efficiency of design recommendation services by using collaborative filtering.