• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.5826-5841
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• 2019

In our previous research, we proposed a tag emotion-based item recommendation scheme. The ternary associations among users, items, and tags are described as a three-order tensor in order to capture the emotions in tags. The candidates for recommendation are created based on the latent semantics derived by a high-order singular value decomposition technique (HOSVD). However, the tensor is very sparse because the number of tagged items is smaller than the amount of all items. The previous research do not consider the previous behaviors of users and items. To mitigate the problems, in this paper, the item-based collaborative filtering scheme is used to build an extended data. We also apply the probabilistic ranking algorithm considering the user and item profiles to improve the recommendation performance. The proposed method is evaluated based on Movielens dataset, and the results show that our approach improves the performance compared to other methods.

• Journal of Internet Computing and Services
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• v.19 no.3
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• pp.7-14
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• 2018

As SNS(Social Network Service) becomes a part of our life, new information can be derived through various information provided by SNS. Through the public timeline analysis of SNS, we can extract the latest tour trends for the public and the intimacy through the social relationship analysis in the SNS. The extracted intimacy can also be used to make the personalized recommendation by adding the weights to friends with high intimacy. We apply SNS elements such as analyzed latest trends and intimacy to item-based collaborative filtering techniques to achieve better accuracy and satisfaction than existing travel recommendation services in a new way. In this paper, we propose a social travel recommendation system using item - based collaborative filtering.

• Journal of Internet Computing and Services
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• v.7 no.6
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• pp.131-141
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• 2006

In many papers, item difficulty does apply to the E-Learning system for advance learning effect. But there have to need item revision difficulty for more correct item difficulty. Also, there have to support self-directed learning process which learner can make plan and operate learning progress. In this research, I developed self-directed E-Learning system using item revision difficulty. For efficiency of system development, il is implemented and composited by component based development. In the applied result, it was able to support more correct item revision difficulty to learner. And I displayed efficiency of operation the component based self-directed learning system.

• Management & Information Systems Review
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• v.23
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• pp.135-156
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• 2007

The aims of this study are to determine if the perceived risk of e-commerce affect the Internet shopping mall users' decision to pre-purchase an item via e-commerce, to find out if there are differences among the induced perceived risk according to gender, and to verify if the perceived risk according to gender have a correlation to a person's decision to pre-purchase an item via e-commerce. It can thus be concluded that the pre-perceived risk of e-commerce affect the Internet shopping mall users' purchase intention. Different results were obtained, though, according to gender. Moreover, the perceived risk of e-commerce based on gender and the purchase intention of the Internet shopping mall users were shown not to have a correlation. This means that although slightly different study results were presented, e-commerce purchasers can use these results to recognize the risk of e-commerce.

• The Research Journal of the Costume Culture
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• v.9 no.4
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• pp.602-615
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• 2001

The purpose of this study was to investigate the relationships between life style and clothing purchase intention and purchase criteria in internet shopping-mall of male and female consumers. The subjects were 275 internet users (male: 164, female: 111). The results of the study were as follows. Five factors of life style derived by factor analysis:'Digital Orientation','Economy Orientation','Positive Activity','Fun Orientation', and'Home Orientation'. The dress types to be based on the purchase intention in internet shopping-mall was classified into four dimensions by factor analysis: Casual Wears & Single Item Clothes','Formal Wears','Miscellaneous Goods', and'Underwears ＆ Night Clothes'. Internet users showed relatively high purchase intention in casual wears & single item clothes and miscellaneous goods. Clothing purchase intention in internet shopping correlated significantly with home orientation in males, and with digital orientation in females. Subjects high in fun orientation placed importance on design as clothing purchase criteria. Males high in positive activity placed importance on price, color, sewing, brand, and wearing appearance. Females high in digital orientation believed design, color, material, refundment condition, and fashionability were important as purchase criteria. The level of digital orientation of dress purchasers in internet shopping-mall was higher than that of non-purchasers in case of males, and that of fun orientation was higher than that of non-purchasers in case of females. The present findings suggest that life style such as digital orientation and home orientation appeared to be important in predicting the clothing purchase intention in internet shopping mall.

• Journal of Internet Computing and Services
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• v.10 no.3
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• pp.151-157
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• 2009

A lot of E-Learning system is supplying the existent item difficulty based learning information to learner. And learner is doing learning contents according to the fixed learning course. It is difficult for learner to get efficient learning effect. Because learner has to belong to fixed item difficulty and learning course even thought learner has different degree that understand studying in learning course. This research proposed the learner adaptive E-learning system that is able to control the item difficulty and learning course to analyze the understanding degree of learner in learning course. In this result, learner is able to improve learning effect to get rid of fixed learning course using bi-directed learning such as off-line learning.

• Journal of the Korean Operations Research and Management Science Society
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• v.27 no.4
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• pp.29-39
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• 2002

The transaction tables of the existing association algorithms have two column attributes : It is composed of transaction identifier (Transaction_id) and an item identifier (item). In this kind of structure, as the volume of data becomes larger, the performance for the SQL query statements came applicable decreases. Therefore, we propose advanced association rules algorithm of n-items which can transact multiple items (Transaction_id, Item 1, Item 2…, Item n). In this structure, performance hours can be contracted more than the single item structures, because count can be computed by query of the input transaction tables. Our experimental results indicate that performance of the n items structure is up to 2 times better than the single item. As a result of this paper, the proposed algorithm can be applied to internet shopping, searching engine and etc.

• Journal of Family Resource Management and Policy Review
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• v.11 no.4
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• pp.21-36
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• 2007

As online shopping is expanding rapidly, the damages undergone by consumers are also dramatically increasing. This research mainly focused on the damages experienced through Internet shopping. The purpose of this study was to develop a standardized scale to measure damages sustained through an Internet shopping mall. A preliminary 35-item scale was developed through a literature review, and 1,230 consumers responded to an online survey using the preliminary scale. This research was supported by the surveys conducted on consumers who had previously shopped at an Internet fashion mall. This research was conducted with the intention of not only supplying academic data on the damage sustained by consumers, but also understanding the consumers' basic behavior patterns. Then a series of tests, such as test-retest, item-to-total correlation, Cron bach's reliability coefficient and factor analysis, were conducted using the survey data and a final scale with 26-items was constructed in the end. The damage sustained in Internet shopping malls scale for consumers consisted of three factors: 1. Trouble with safety 2. Trouble with payment and delivery; and 3. Trouble with after-sales services.

• Journal of the Korean Home Economics Association
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• v.45 no.8
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• pp.105-126
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• 2007

The aims of this study were to examine the actual conditions surrounding the purchasing of online game items and Internet cyberspace items by adolescents the propensity of adolescents to consume these items, to determine the difference in the propensity for high and low consumption of these items among adolescents, and to investigate the characteristics of the adolescents who show a high propensity for the consumption of Internet items. The data for this study were collected from 483 adolescent consumers who were middle school and high school students in the city of Bucheon in Gyeonggi Province. The statistical methods used for the data analysis included frequency, percentage, standard deviation, t-test, and one-way ANOVA. The results of the present study can be summarized as follows. The majority(79.5%) of the students surveyed had had the experience of purchasing items. Most students(67.5%) had a rare frequency of buying ($1{\sim}2$ times in a period of 6 months or less). Nearly half (47.9%) of the students spent less than 1000 won per month on the item(s) purchased. Most of the students purchased items with their parents' permission, but 26.6% of the students bought the items without their parents' permission. Most of the characteristics of the items purchased, such as the major item purchased, payment method, amount purchased per month, average amount spent per buying experience, and whether or not they had their parents' permission differed according to gender, grade level, record, and monthly allowance. The level of propensity to consume the items was not high. The propensity of imitation consumption (1.96) was lower than that of impulsive consumption (2.38) and conspicuous consumption (2.45). Most of the buying characteristics, including the major item purchased, payment method, amount purchased per month, average amount spent per buying experience, parents' permission, grade level, and monthly allowance were different between the high and low propensity for consumption groups.

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.75-85
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• 2016

Changes in the distribution and sharing information using the Internet is changing the most part in our daily life, Utilizing the Internet of our lives to the rapid development of IT technology, are living in the off-line (off-line) and online (on-line) a mix of life, We expect now online life specific gravity is further increased. However, do not systematically implement the education of Internet ethics awareness deficiencies of objective indicators to assess the current knowledge level of the Internet ethics is the actual situation. Therefore, in this paper, it provides a development process in order to establish a common standard for the evaluation of Internet ethics index. Development procedure of Internet ethics index in order to establish a common standard, "evaluation item (draft) derivation", "Creating a questionnaire", "the calculation of the analysis and item-by-item weight of the questionnaire", and a common reference determination of the stage having. Was also a questionnaire that target 46 people to calculate the weight of the common reference. Internet ethics index evaluation model through the establishment of the common standards developed in this paper, municipal road Office of Education, related organizations, high school, such as small, medium, can be utilized as an indicator to measure the Internet ethics education level.