• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.4
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• pp.60-66
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• 2016

Compound logistics is a service aimed to enhance logistics efficiency by supporting that shippers and consigners jointly use logistics facilities. Many of these services have taken place both domestically and internationally, but the joint logistics services for e-commerce have not been spread yet, since the number of the parcels that the consigners transact business is usually small. As one of meaningful ways to improve utilization of compound logistics, we propose a brokerage service for shipper and consigners based on the hybrid recommendation system using very well-known classification and clustering methods. The existing recommendation system has drawn a relatively low satisfaction as it brought about one-to-one matches between consignors and logistics vendors in that such matching constrains choice range of the users to one-to-one matching each other. However, the implemented hybrid recommendation system based brokerage agent service system can provide multiple choice options to mutual users with descending ranks, which is a result of the recommendation considering transaction preferences of the users. In addition, we applied feature selection methods in order to avoid inducing a meaningless large size recommendation model and reduce a simple model. Finally, we implemented the hybrid recommendation system based brokerage agent service system that shippers and consigners can join, which is the system having capability previously described functions such as feature selection and recommendation. As a result, it turns out that the proposed hybrid recommendation based brokerage service system showed the enhanced efficiency with respect to logistics management, compared to the existing one by reporting two round simulation results.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.701-709
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• 2018

Our research team implemented and operated the system by analyzing the membership information and identifying the different preferences for each group and providing the results of the recommendation based on accumulated membership information and activity log data to the individual. The utilization log was followed up. We analyzed how many people use recommended services and analyzed whether there are any factors other than the personalization service algorithm that affect the service utilization of the system with personalization. In addition, we propose recommendation methods based on behavioral changes when incentives are given through analyzing patterns of users' usage according to methods of recommending services and contents that are often used based on analysis contents.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.5
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• pp.1446-1465
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• 2022

Diversified SaaS applications allow users more choices to use, according to their own preferences. However, the diversification of SaaS applications also makes it impossible for users to choose the best one. Furthermore, users can't take advantage of the functionality between SaaS applications. In this paper, we propose a platform that provides an SaaS mashup service, by extracting interoperable service functions from SaaS-based applications that independent vendors deploy and supporting a customized service recommendation function through log data binding in the cloud environment. The proposed SaaS mashup service platform consists of a SaaS aggregation framework and a log data binding framework. Each framework was concreted by using Apache Kafka and rule matrix-based recommendation techniques. We present the theoretical basis of implementing the high-performance message-processing function using Kafka. The SaaS mashup service platform, which provides a new type of mashup service by linking SaaS functions based on the above technology described, allows users to combine the required service functions freely and access the results of a rich service-utilization experience, using the SaaS mashup function. The platform developed through SaaS mashup service technology research will enable various flexible SaaS services, expected to contribute to the development of the smart-contents industry and the open market.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.2
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• pp.59-72
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• 2022

The online fashion market in the 21st century has shown rapid growth. Against this backdrop, using consumer activity data to provide customized customer services has emerged as a viable business model that draws attention. Algorithm-based personalized recommendation services are a good example. But their application in fashion products has clear limitations. It is not easy to identify consumers' perceptions of the attributes of fashion, which are various, hard to define, and very sensitive to trends. So there is a need to compile data on consumers' underlying awareness and to carry out defined research to increase the utilization of such services in the fashion industry and further engage consumers. This research aims to classify the attributes and types of fashion products and to identify consumers' perceptions of a given situation where a recommendation service is offered. To find out consumers' perceptions of and satisfaction with recommendation services, an online and mobile survey was conducted on women in their 20s and 30s, a group that uses recommendation services frequently. A total of 455 responses were used for analysis. SPSS 28.0 was used, combined with Conjoint Analysis and multiple regression, to analyze data. The study results could provide insights into a better understanding of recommendation services and be used as basic data for companies to identify consumers' preferences and draw up a detailed strategy for market segmentation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.265-273
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• 2012

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 proposed the context through OWL modeling for user personalization recommendation service and used inference rules and inference engine for context reasoning.

• 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.

• Journal of the Korean Society of Food Culture
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• v.17 no.5
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• pp.605-618
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• 2002

The purposes of this research were to; (a) identify useful information source; (b) assess the usefulness of the Internet as an information source; and (c) assess the degree of Internet utilization for purchasing process in food service industry. The results were as follows; 1. 'personal experience and colleague recommendation' was perceived as the most useful information source, whereas the most frequently used source was 'Internet web site' for real purchasing practice. 2. the most frequently used purchasing activity through Internet was 'online ordering', followed by 'gathering product/component information', however e-marketplace or Internet bidding were less performed by Internet. 3. acquisition of real time information, rapidity, accuracy, and increasing effectiveness of purchasing process were reported the advantages of Internet utilization. 4. respondents somewhat or strongly agreed with the importance of Internet in terms of present and future purchasing management. The results of the research suggest that Internet should be able to improve purchasing process and enhance buyer-supplier relationship directly or indirectly, therefore food service industry should consider making attempt to new purchasing systems through Internet for strategic sourcing and effective procurement management.

• Journal of Society of Preventive Korean Medicine
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• v.3 no.2
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• pp.1-23
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• 1999

The purpose of this paper is to survey the current status of service utilization in oriental medicine, to identify the determinants of consumers' decision in the service utilization, and then suggest policy implications for promoting the consumers' utilization. A multiple regression model was adopted to analyze the factors that influence consumer's decision in purchasing the oriental medical services. Data used in this research relied on National Survey Data conducted by Korea Institute of Health and Social Affairs, and sampling survey. The results could be summarized as follows.: 1. the number of visits to oriental medical institutions has shown an overall increase during the last decade since the inception of health insurance for oriental medical services. It still, however, revealed a relatively iow figure to western medical services. 2. the main factors, after controlling demographic variables, that determine consumers' selection between oriental medical services and western medical services are considered to be price, belief in effectiveness of services, waiting time for service. Implications for policy recommendation include 1. to reduce a barrier to service utilization by discounting dramatically the price of herb medicine, which is believed to be crucial in expanding market share, 2. to encourage consumer's belief in clinical effectiveness through a specialization in competitive services compared with wertern medicine, 3. to keep the affirmative image among consumers alive through an active participation of oriental medical doctors in community activities, 4 to change the health care system in favor of oriental medicine in the long run.

• The KIPS Transactions:PartD
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• v.14D no.7
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• pp.707-718
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• 2007

Recently, much studies for providing mobile users with suitable and useful content services, LBS(Location Based Service) corresponding to the change of users' location, are actively going on. First and foremost, this is basically owing to the progress of location management technologies such as GPS, mobile communication technology and the spread of personal devices like PDA and the cellular phones. Besides, the research scope of LBS has been changed from vehicle tracking and navigation services to intelligent and personalized services considering the changing information of conditions or environment where the users' are located. For example, it inputs the information such as heavy traffic, pollution, and accidents. The query languages which effectively search the stored vehicle and environment information have been studied depending on the increase of the information utilization. However, most of existing moving object query languages are not enough to provide a recommendation service for a user, because they can not be tested and evaluated in real world and did not consider changed environment information. In order to retrieve not only a vehicle location and environment condition but also use them, we suggest a moving object query language for recommendation service and implement a moving object query process system for supporting a query language. It can process a nearest neighbor query for recommendation service which considers various attributes such as a vehicle's location and direction, environment information. It can be applied to location based service application which utilizes the recommended factors based on environmental conditions.

• Journal of Korean society of Dental Hygiene
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• v.16 no.1
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• pp.121-127
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• 2016

Objectives: The purpose of the study is to investigate the effect of social network service(SNS) information on intention to dental office use. Methods: A self-reported questionnaire was completed by 410 users of social network service between twenty and thirty years old in Seoul and Gyeonggido after receiving informed consent from July 1 to August 3, 2015. The questionnaire consisted of general profiles of the subjects(6 items), use of dental office(3 items), use of SNS(3 items), use of dental SNS(4 items), use of general SNS(6 items), application of dental SNS(6 items), and intention to dental office use(2 items). Except 8 incomplete answers, 402 data were analyzed using SPSS 18.0 program. Results: The first choice of dental office was recommendation by the acquaintances. There were close correlations between the use of SNS information and the use of general SNS information according to sex(p=0.016) and the frequency of SNS(p=0.012). The use of SNS for dental information showed a meaningful correlation with sex(p=0.003). The intention to use was influenced by sex(p=0.016) and the use of SNS for dental information(p<0.001). Conclusions: The important factor of visit intention to dental service was recommendation by the acquaintances through SNS. The appropriate advertisement of visit intention is very important to improve dental health care.