• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.135-137
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• 2012

A existing recommedation system using association rules has the problem, which is suffered from inefficiency by reprocessing of the data which have already been processed in the incremental data environment in which new data are added persistently. We propose the recommendation technique using incremental frequent pattern mining based on RFM in e-commerce. The proposed can extract frequent items and create association rules using frequent patterns mining rapidly when new data are added persistently.

• Journal of Korea Technology Innovation Society
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• v.7 no.3
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• pp.681-709
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• 2004

The purpose of this study is to classify customers by e-mail responsiveness on time-series analysis and testify the effectiveness of grouping by ROI analysis. Response recency, response frequency and Activity(RFA) of e-mailing systems are adapted for Customer segmentations. ROI analysis are consisted of open, click-through, duration time, personalization, conversion rate and email loyalty index of email systems. Major findings are as follows: RFA analysis is used for customer segmentations that is fundamental process of e-CRM applications. Customers can be grouped into loyal customers, odds customers, dormant customers, secession customers, and observation customers by RFA grouping. Loyal customer group has high point in all ROI index compared to other groups. These results indicated that customer responsiveness of e-mail systems were appropriate methods to group the customer with demographic variables. Therefore, effective e-mail marketing strategy of e-Biz should have suitable active DB and Behavior targeting is best approach to enforce the target e-mail marketing.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.5
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• pp.515-522
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• 2010

With the development of information technology, the demand on digitalized space information is being largely expanded in our society. Especially, the recency securing of material as well as various policy alternatives like expansion on an application scope are being required in the spatial information utilization field, such as efficient use and management of the land, various spatial plans, environment and disaster management, etc. The present research aims to suggest an evaluation model by applying the system dynamics theory for dynamic analysis on utilization of this spatial information.

• Journal of the Korean Institute of Plant Engineering
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• v.23 no.4
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• pp.57-64
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• 2018

User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.820-823
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• 2008

본 논문은 기존의 XIP 기법에서 발생할 수 있는 메모리 접근 성능저하를 해결하기 위한 동적 XIP 기법을 제안하였다. 동적 XIP 기법은 상대적으로 성능저하가 적을 것으로 예상되는 코드 페이지들을 동적으로 선택하여 XIP 영역으로 설정하고, 성능저하가 크게 나타날 것으로 예상되는 코드 페이지들을 램 캐시에 캐싱하여 성능을 향상시킨다. 본 논문은 램 캐시를 관리하기 위해 MIN 캐시 알고리즘 및 메모리 접근 비용을 고려한 오프라인 캐시 알고리즘과, 페이지 접근에 대한 최신성(Recency) 및 슬라이딩 윈도우에 저장된 페이지 접근 기록에 기반하여 메모리 접근 비용을 예측하는 온라인 캐시 알고리즘, 온라인 캐시 알고리즘의 램 캐싱 판단의 정확성을 높이는 기법을 제안하였다. 본 논문은 온·오프라인 알고리즘의 성능비교를 위해 시뮬레이터를 통해 성능을 평가하였고, 유용성을 시험하기 위해 온라인 알고리즘을 리눅스를 기반으로 구현하여 성능을 평가하였다. 본 논문에서 제안한 동적 XIP는 실제 구현한 환경에서 실험한 결과, 작은 크기의 캐시를 사용하고도 수행시간에서는 최대 27%, 에너지 소모량에서는 최대 24%의 성능이 향상됨을 보였다.

• Journal of Information Technology Applications and Management
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• v.31 no.1
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• pp.57-77
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• 2024

The aim of this research is to examine the impact of trust in reviews. Expertise, enjoyment, recency, and usefulness-four aspects of reviews-are designated as independent variables, and trust in reviews has been chosen as the mediating variable. The dependent variables are trust in firms and trust in products. For explaining the flow of trust, this study uses the theory of Trust Transfer. The study's findings demonstrated that customer trust in a product leads to consumer trust in a company, which is derived from trust in reviews. Reviews were found to be important from a practical standpoint. Furthermore, it was discovered that a product's category or features would have an impact on how reviews are trusted.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.7B
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• pp.608-618
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• 2006

The increasing popularity of multimedia streaming services introduces new challenges in content distribution. Especially, it is important to provide the QoS guarantees as they are increasingly expected to support the multimedia applications. The service providers can improve the performance of multimedia streaming by caching the initial segment (prefix) of the popular streams at proxies near the requesting clients. The proxy can initiate transmission to the client while requesting the remainder of the stream from the server. In this paper, in order to apply the prefix caching service based on IETF's RTSP environment to the wireless networks, we propose the effective RTSP handling scheme that can adapt to the radio situation in wireless network and reduce the cutting phenomenon. Also, we propose the traffic based caching algorithm (TSLRU) to improve the performance of caching proxy. TSLRU classifies the traffic into three types, and improve the performance of caching proxy by reflecting the several elements such as traffic types, recency, frequency, object size when performing the replacement decision. In simulation, TSLRU and RTSP handling scheme performs better than the existing schemes in terms of byte hit rate, hit rate, startup latency, and throughput.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.19-27
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• 2015

Due to the advantages of fast read/write operation and low power consumption, SSD(Solid State Drive) is now widely adopted as storage device of smart phone, laptop computer, server, etc. However, the shortcomings of SSD such as limited number of write operations and asymmetric read/write operation lead to the problem of shortened life span of SSD. Therefore, the block replacement policy of SSD used as cache for HDD is very important. The existing solutions for improving the lifespan of SSD including the LARC scheme typically employ the LRU algorithm to manage the SSD blocks, which may increase the miss rate in SSD due to the replacement of frequently used block instead of rarely used block. In this paper we propose a novel block replacement scheme which considers the block reuse interval to effectively handle various data read/write patterns. The proposed scheme replaces the block in SSD based on the recency decided by reuse interval and age along with hit ratio. Computer simulation using workload trace files reveals that the proposed scheme consistently improves the performance and lifespan of SSD by increasing the hit ratio and decreasing the number of write operations compared to the existing schemes including LARC.

• The Journal of the Korea Contents Association
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• v.5 no.4
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• pp.254-264
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• 2005

In this paper, an advanced E-Model was proposed in order to overcome disadvantages of conventional method. A new model makes the accurate VoIP call quality assessment possible by applying the burst packet loss and recency effect. In order to assess the performance of this advanced E-Model, we gained the estimated MOS value from NR(Network R) value and UR(User R) value resulted from the burst packet loss values by Gilbert Model. Through simulations and comparisons with conventional models such as MOS, PESQ, and I-Model, we reach a conclusion that advanced E-Model is more accurate and reliable method than conventional models.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.5
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• pp.1343-1351
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• 2015

Though the history of fisheries business administration education has it's own uniqueness, the research or study of that still insufficient. And in spite of the structural shift of society and environmental diversity, there's few research that analyzing or examining the curricular constitution and change recently. The process of this research was implemented with investigating the objective and content domains concerning marine education in the fisheries and marine curriculum and changes of them. The changes of fisheries business administration education reviewed and analyzed in the view point of construction of the textbook, contents of the each changes and recency comparison of tables and figures of the high school textbook of the fisheries business administration general. The results show that most of the changes have been reflected by the demands of the society including fisheries related law, policy and distribution networks. But there are still some errors and necessity of improvements in data and descriptions. The results of this study would help develop sustainable curriculum design for further changes and give more effective guidelines for identifying the core of fisheries business administration education.