• Journal of Internet Computing and Services
• /
• v.10 no.4
• /
• pp.161-176
• /
• 2009

As the Internet has been growing, WWW(World Wide Web) based services were popularized and users using the service were increased excessively. To support these environments, a processing of many transactions became an essential consideration. There are many researches regarding the user profiling on web services to support those transactions effectively. Most of them are just for grasping the comsumer's preferences. However, a trend of recent web service is not limited what they are doing between consumers and providers; a consumer can become a provider and also a provider can become a consumer virtual open environments such as open market on the internet. For this reason, it is necessary to inspect a preference of consumers as well as providers one. In this paper, we proposed personal preference tree(PPT) reflecting the preferences for providers and implemented the module applying to the web service, and evaluated the applicability the personal preference module through a simulation.

• Database Research
• /
• v.34 no.3
• /
• pp.86-98
• /
• 2018

Point-of-Interest(POI) recommendation systems suggest the most interesting POIs to users considering the current location and time. With the rapid development of smartphones, internet-of-things, and location-based social networks, it has become feasible to accumulate huge amounts of user POI visits. Therefore, instant recommendation of interesting POIs at a given time is being widely recognized as important. To increase the performance of POI recommendation systems, several studies extracting users' POI sequential preference from POI check-in data, which is intended for implicit feedback, have been suggested. However, when constructing a model utilizing sequential preference, the model encounters possibility of data distortion because of a low number of observed check-ins which is attributed to intensified data sparsity. This paper suggests refinement of temporal intervals based on data confidence. When building a POI recommendation system using temporal intervals to model the POI sequential preference of users, our methodology reduces potential data distortion in the dataset and thus increases the performance of the recommendation system. We verify our model's effectiveness through the evaluation with the Foursquare and Gowalla dataset.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.3
• /
• pp.45-53
• /
• 2010

When the user's role is getting more important in contents communicated online, we must know that the cultural trait of content that is reflecting user's mental model, needs and tastes. An attempt to study about cross-cultural characteristics focused on contents of global website give us the best chance to understand user. This paper takes a look if there are any linkages between certain country and its preferable contents and analyze that whether this preference is result from the cultural differences or not. This analysis is based on Hofstede's and Schwartz's framework. So, this content analysis examines cultural influence on the contents of global website in Korea and U.S and Japan and China. The results provide CIC(Cultural Index of Content) which is extended framework adding interaction. We expect that it can help service providers and content creators to have some new ideas.

• Korean Institute of Interior Design Journal
• /
• v.17 no.1
• /
• pp.50-59
• /
• 2008

The study aims to establish the systematic residential satisfaction index which reflected perception of high rise residents are demand on the Apartment housing. Apartment house is developed to reduce the housing shortage caused by urbanism after industrialization in Korea. It has increased constantly since the 1970s and has become the most common residential type of Korean city dwellers. It shows Korean dwelling pattern and culture. Furthermore, it can be an index of private wealth. The main purpose of the thesis is the highlight on systematic planning process for actual users' needs. In other words, city planners are eager to reflect each individual preference when he/she designs a house. More practical and accurate research in user's satisfaction of housing can be helpful to overcome limitations of city planner's personal preference which can't provide certain evidences. First, the study has carried out the survey of importance of design elements which were selected on the basis of the results of the POE, Residential Quality, Quality Of Life which were carried out for the same subject. Then, the data were analyzed by SPSS 12+ program package in terms of frequency, factor analysis and reliability analysis. The results reveals that the Residential Satisfaction Index of Apartment housing are consisted of 8 factors which had been sorted out in factor analysis which can be interpreted to be closely related to the Physical, Social psychological and General environment.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.30 no.3
• /
• pp.12-24
• /
• 2002

The purpose of this paper is to decompose the effect of resources of natural parks(NP) on user's satisfaction to answer the research question: What are the causal effects of resources of natural parks on user\ulcorner After reviewing the literature, classification of resources of NP, various approaches and analysis methods employed, we constructed the conceptual framework and have formulated the hypothesis of this research. We had obtained data through a questionnaire, which surveyed 414 visitors at 6 of the 73 NP in Korea in 2001, based on a stratified sampling method. We have analyzed the data using descriptive statistical methods, Pearson's correlation analysis, and a path analysis method. We found that 1) While the indirect effect of topographical feature and valley(TFV), socio-cultural resources(SCR), and climate, sound, and scent(CSS) turned out to be 2.75, 1.20, and 2.00 times higher than that of wild animal and plant(WAP), the direct effect of TFV, SCR, and landscape turned out to be 2.95, 2.88, and 2.64 times higher than that of CSS, 2) The magnitude of causal effects of the three exogeneous variables of TFV, WAP, and SCR and two intervening variables of CSS and landscape on User's satisfaction turned out to be 0.403, 0.048, 0.323, 0.188, and 0.243, respectively, 3) Total direct effect of the exogeneous and intervening variables on user's satisfaction is 0.871, while that of indirect effect is 0.334, and 4) Causal effect of tangible resources is 1.80 times higher than that of intangible while total effect of tangible resources are 1.36 times higher than that of intangible. The research results suggest that 1) Criteria for designation and maintenances of NP and results of previous studies on resources turned out to be unreliable and distorted, 2) In the criteria of planning and maintenance of NP, intangible resources must be included, 3) Remedial directions to increase user's satisfaction should be focused on maintenance of TFV and landscape in NP, and 4) The approach and path analysis adopted by this research is valid and highly useful for other resource based recreation area. It is recommended that more empirical study on seasonal variation of resources in NP based user's preference be performed in the future.

• Korea Science and Art Forum
• /
• v.24
• /
• pp.321-332
• /
• 2016

As functions of public library has become diversified, proper environment color plan enhancing a supporting environment of user based on a function of public library should be achieved by utilizing space chromatics which is a psychological environmental factor. Therefore, public library's color environment of each space functions should be understood and the foundation of color plan enhancing supporting environment of user should also be established under the premise that public library color environment which supports integrated functions to every local residents by meeting functional roles of library. As functions of public library expands, this study has its purpose to analyze color environment characteristics by mainly focusing on library of Busan region to study color environment supporting function of each space. Through a literature research, function and role of color, environment color have considered, and through a preceding research analysis on public library's present condition analysis and tendency of library color preference, theoretical background on library color environment has deducted. By researching present condition of environment color application at 9 public libraries located at Busan, the environment color characteristics of library has deducted through an image adjective analysis using color system, coloration analysis, IRI(Image Research Institute) color image scale. This study can be provided as a reference data for environment color plan based on spatial function to enhance supporting environment of public library user, and it is expected to utilize in the library facility plan which has been diversified.

• Journal of KIISE:Software and Applications
• /
• v.30 no.5_6
• /
• pp.540-549
• /
• 2003

In collaborative recommendation two models are generally used: the user model and the article model. A user model learns correlation between users preferences and recommends an article based on other users preferences for the article. Similarly, an article model learns correlation between preferences for articles and recommends an article based on the target user's preference for other articles. In this paper, we investigates various combination methods of the user model and the article model for better recommendation performance. They include simple sequential and parallel methods, perceptron, multi-layer perceptron, fuzzy rules, and BKS. We adopt the multi-layer perceptron for training each of the user and article models. The multi-layer perceptron has several advantages over other methods such as the nearest neighbor method and the association rule method. It can learn weights between correlated items and it can handle easily both of symbolic and numeric data. The combined models outperform any of the basic models and our experiments show that the multi-layer perceptron is the most efficient combination method among them.

• Journal of Internet Computing and Services
• /
• v.17 no.5
• /
• pp.75-87
• /
• 2016

With the exploration of digital academic information, it is certainly required to develop more effective academic contents recommender system in order to accommodate increasing needs for accessing more personalized academic contents. Considering historical usage data, the academic content recommender system recommends personalized academic contents which corresponds with each user's preference. So, the academic content recommender system effectively increases not only the accessibility but also usability of digital academic contents. In this paper, we propose the new journal recommendation technique based on information of journal subscription and web usage logs in order to properly recommend more personalized academic contents. Our proposed recommendation method predicts user's preference with the institution similarity, the journal similarity and journal importance based on citation relationship data of references and finally compose institute-oriented recommendations. Also, we develop a recommender system prototype. Our developed recommender system efficiently collects usage logs from distributed web sites and processes collected data which are proper to be used in proposed recommender technique. We conduct compare performance analysis between existing recommender techniques. Through the performance analysis, we know that our proposed technique is superior to existing recommender methods.

• Journal of Distribution Science
• /
• v.17 no.2
• /
• pp.101-107
• /
• 2019

Purpose - The purpose of this study is to analyze the user requirements and developer requirements in virtual reality(VR), and suggest ways to increase the satisfaction of users who experience virtual reality. Specifically, focused on experience store of VR as a distribution retailer, user requirements were analyzed according to the results of previous research that the characteristics of Affordance, Presence, and Head Mounted Display (HMD) affect user satisfaction. Research, design, data, and methodology - Based on previous studies, in this study, we analyzed the importance of immerse, interaction, perception, and presence for the satisfaction of the user through the questionnaire, and the user experiences virtual reality (VR) The importance of HMD, Presence, Affordance, and experience satisfaction were analyzed. Based on this, we analyzed the user requirements and the developer requirements based on the questionnaires and interviews of the experts, starting from the user's desire or preference using QFD technique. Results - As a result of the analysis, the development factors that occupied a big part in the virtual reality field appeared to be visual. In detail, this showed that there was a lack of sense of presence for users. This should be improved. This paper shows that the requirements for visual, auditory, and tactile development are necessary. For the satisfaction of the users of virtual reality (VR) users, it is necessary to develop them according to their priority in consideration of importance and difficulty in the future. Conclusions - In this study, it was suggested that development according to priority should be considered, considering the difficulty level. Based on the results of this study, the following suggestions are made. First, we tried to search the list of user requirements as much as possible, but it is likely to change due to the development of VR technology. Therefore, it is necessary for developers to continually supplement user requirements with recent research literature. Second, development priorities according to difficulty level should be considered. This aspect should be considered in the actual VR development process, so if the numerical value of the difficulty is calculated, it should be presented in the research.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.8
• /
• pp.1407-1414
• /
• 2016

In this study, we develop that Location Recommending System using personal emotion information based on Collaborative Filtering. Previous Location Recommending System recommended a place visited by the user of the rating or the pattern of location for the user place. These systems are not high user satisfaction because that dose not consider the user status or have not objectively the information. Using user's personal emotion information to recommend a high-affinity users who have visited the place felt similar emotions objectively can improve user satisfaction with the place. In this study, a user using a mobile application directly register the recognized emotion information using the current position and bio-signal, and using the registered information measuring the similarity of user with a similarity emotion, predicts a preference for the place it is recommended to emotional place. The system consists of a user interface, a database, a recommendation module.