• Journal of Industrial Convergence
• /
• v.18 no.2
• /
• pp.95-100
• /
• 2020

Among the customer-oriented data used to comprehend the customer, the user review data has received much attention as it provides insights into customer opinion in a detailed and large-scale manner; many customers have come to rely upon and trust the user reviews. Many application developers are cognizant of the importance of user reviews, so they monitor and respond to these reviews. However, due to the absence of a systematic method, developers have been investing their time and money without clear correlation to the customer satisfaction. Therefore, this paper suggests a systematic method to select user reviews from the application market using the Kano Model that deals with customer satisfaction and service quality, thereby maximizing the customer satisfaction under the given time period and budget. This method is constructed in the following phases: the user review collection and requirement elicitation phase in which the developers collect user reviews from the application market and elicit requirements, the Kano Model application and selection phase in which the Kano Model is applied to the elicited requirements and selection occurs based on the quality type, and the stakeholder review and redefinition phase in which relevant personnel gather to review and redefine requirements from an internal perspective.

• Journal of Korea Society of Industrial Information Systems
• /
• v.18 no.3
• /
• pp.27-34
• /
• 2013

As smart phone is daily used by most people, various location-based applications have been developed. Moreover, it is increased the requirements of location-based services that utilize Google maps, GPS sensing information and etc.. In this paper, we develop a smart phone application providing notification services by detecting the daily route deviation. We develop the server system which receives GPS information gathering from user's smart phone and analyse the user's regular routes. With the results from the analyzation the GPS coordinates, the application on a smart phone detects the case of a breakaway from regular routes. And then it can inform automatically and immediately the designed person such as guardians of children or the old and the infirm of the route deviation so will be helpful to protect such person. This is one example of the effectiveness of the application. Moreover, the application is developed on the client-server framework, thus it is very useful to judge the user's daily route deviation in realtime by using the accumulated information on the corresponding DB. Finally we evaluated the proposed methods which had been implemented on smart phones and show the utilities of the application.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.6 no.8
• /
• pp.1181-1186
• /
• 2002

This system is controlled by PC application programs through USB interface. PC application programs make image files, user's files , sound files and option files. And these files are downloaded to external memory card of this system. The other PC application programs monitor status of DARC, GPS, LED module of this system. The PC application programs help user manage this system efficiently.

• The Journal of the Korea Contents Association
• /
• v.13 no.11
• /
• pp.533-540
• /
• 2013

Currently, as the Android platform only supports single-user protection, it needs security solution for multi-users. Specially, it has to protect specific applications which have personal and financial information, and be available to support authority management for contents access. Thus, this paper proposes an integrated user authority manger model for the Android platform. It helps application authority which is capable to divide into three statuses: installation, execution, deletion with the help of information technology.

• The Journal of Engineering Research
• /
• v.2 no.1
• /
• pp.83-94
• /
• 1997

This paper documents how the user modeling shell BGP-MS is adapted to suit the user-modeling requirements of the Intelligent Dialog Model(IDM) and descriebes the background information about building a user model framework within BGP-MS, i.e. how to configure the shell system with application specific needs.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04b
• /
• pp.7-9
• /
• 2004

With the development of e-commerce and information access, recommender systems have become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. In this paper, clustering technique is applied in the collaborative recommender framework to consider semantic contents available from the user profiles. We also suggest methods to construct user profiles from rating information and attributes of items to accommodate user preferences. Further, we show that the correct application of the semantic content information obtained from user profiles does enhance the effectiveness of collaborative recommendation.

• International Journal of Contents
• /
• v.1 no.1
• /
• pp.35-39
• /
• 2005

This research employs the intelligent application form agent to help people to locate the information they would want from Internet quickly. Based on Internet GUI environment, this user-friendly online application form program uses the agent concept to provide the customized, individual information to the users who registered their application form answers, to the extent of increasing the interest and participation of users. The system helps along with the decision making process, by quickening the information gathering process.

• Journal of Advanced Navigation Technology
• /
• v.12 no.5
• /
• pp.509-515
• /
• 2008

The requirement analysis which is clear essential important matter of the software development which is successful about demand of the user. Influences big in the software configuration which will be developed. With the development where existing the many softwares the Internet are sudden changed together in web base Web Application, complicated termination the demand of the user increases and many expense and manpower are becoming disturbance in development. However, So far Web Application about the justice of the development environment which is accurate is not becoming well. There is to development and stands but does not reflect the requirement of the user not to be able, the user became freely plan of the function which approaches information with difficult. This paper, Amended a software requirement analysis process, analyzed the method will be able to identify proposed a requirement.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.31 no.3
• /
• pp.365-371
• /
• 2021

With the rapid growth in Internet users, web applications are becoming the main target of hackers. Most previous WAFs (Web Application Firewalls) target every single HTTP request packet rather than the overall behavior of the attacker, and are known to be difficult to detect new types of attacks. In this paper, we propose a web attack detection system based on user behavior using machine learning to detect attacks of unknown patterns. In order to define user behavior, we focus on features excluding areas where an attacker can camouflage as a normal user. The experimental results shows that by using the path and query information to define users' behaviors, best results for an accuracy of 99% with Decision forest.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.4
• /
• pp.89-95
• /
• 2018

It is not easy for the user to find the information that is appropriate for the user among the suddenly increasing information in recent years. One of the ways to help individuals make decisions in such a lot of information is the recommendation system. Although there are many recommendation methods for such recommendation systems, a representative method is collaborative filtering. In this paper, we design and implement the movie recommendation system on user-based collaborative filtering of apache mahout based on mongoDB. In addition, Pearson correlation coefficient is used as a method of measuring the similarity between users. We evaluate Precision and Recall using the MovieLens 100k dataset for performance evaluation.