• Journal of Computing Science and Engineering
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• v.7 no.1
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• pp.21-29
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• 2013

The introduction of recommender systems to existing online services is now practically inevitable, with the increasing number of items and users on online services. Popular recommender systems have successfully implemented satisfactory systems, which are usually based on collaborative filtering. However, collaborative filtering-based recommenders suffer from well-known problems, such as popularity bias, and the cold-start problem. In this paper, we propose an innovative collaborative-filtering based recommender system, which uses the concepts of Experts and Novices to create fine-grained recommendations that focus on being novel, while being kept relevant. Experts and Novices are defined using pre-made clusters of similar items, and the distribution of users' ratings among these clusters. Thus, in order to generate recommendations, the experts are found dynamically depending on the seed items of the novice. The proposed recommender system was built using the MovieLens 1 M dataset, and evaluated with novelty metrics. Results show that the proposed system outperforms matrix factorization methods according to discovery-based novelty metrics, and can be a solution to popularity bias and the cold-start problem, while still retaining collaborative filtering.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.6
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• pp.862-871
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• 2004

This research is ultimately to understand the general behavior of luxury goods consumers and to diversify the consumer groups according to the relationships between their benefit seeking and brand loyalty. The subjects used for the research were 223 female consumers who purchased fashion luxury goods. The data were analyzed by factor analysis and multiple regression. The results showed that there were four factors in benefit seeking of luxury goods; self-improvement, aesthetics, uniqueness and quality. Each of the factors was analyzed in relation to brand loyalty and brand variety seeking motivations. Brand loyalty's factors were continuous brand loyalty, trademark brand loyalty and devoting brand loyalty. Brand variety seeking motivation factors were change/novelty seeking motivation, quality/recommendation, discounted price and unique types of product line. The consumers who were seeking self- improvement were showing trademark brand loyalty rather than continuous or devoting brand loyalty. Meanwhile, the quality benefit seeking customers showed continuous or devoting brand loyalty. The most important motivations in brand variety seeking was change/ novelty seeking. The implications and marketing strategies of the research were discussed.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.21 no.3
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• pp.167-180
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• 2017

According to the fact that the low convergence level of the complete elliptic integral of the first kind for the modulus which having values approach to one. In this paper we propose novelty of the complete elliptic integral which having new infinite series that consists of new modulus introduced as own modulus function. We apply scheme of iteration by substituting the common modulus with own modulus function into the new infinite series. We obtained so many new exact formulas of the complete elliptic integral derived from this method correspond to the number of iterations. On the other hand, it has been also obtained a lot of new transformation functions with the corresponding own modulus functions. The calculation results show that the enhancement of the number of significant figures of the new infinite series of the complete elliptic integral of the first kind corresponds to the level of quadratic convergence.

• IE interfaces
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• v.25 no.2
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• pp.170-177
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• 2012

Process control is essential to operate the semiconductor process efficiently. This paper consider fault classification of semiconductor based cyclic signal for process control. In general, process signal usually take the different pattern depending on some different cause of fault. If faults can be classified by cause of faults, it could improve the process control through a definite and rapid diagnosis. One of the most important thing is a finding definite diagnosis in fault classification, even-though it is classified several times. This paper proposes the method that one-class classifier classify fault causes as each classes. Hotelling T2 chart, kNNDD(k-Nearest Neighbor Data Description), Distance based Novelty Detection are used to perform the one-class classifier. PCA(Principal Component Analysis) is also used to reduce the data dimension because the length of process signal is too long generally. In experiment, it generates the data based real signal patterns from semiconductor process. The objective of this experiment is to compare between the proposed method and SVM(Support Vector Machine). Most of the experiments' results show that proposed method using Distance based Novelty Detection has a good performance in classification and diagnosis problems.

• Advances in robotics research
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• v.2 no.1
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• pp.69-97
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• 2018

Innovation is considered as key to ensure continuous advancement and firm progress in any field. Robotics, with no exception, has gained triumph and approval based on its strength to address divers range of applications as well as its capacity to adapt new ways and means to enhance its applicability. The core of novelty in robotics technology is the perpetual curiosity of human beings to imitate natural systems. This desire urges to continuously explore and find new feet. In the past, contemporary machines, in different shapes, sizes and capabilities, were developed that can perform variety of tasks. The major advantage of these developments was the ability to exhibit superior control, strength and repeatability than the corresponding systems they were replicating. However, these systems were rigid and composed of hard an underlying structure, which is a constraint in bringing into being the compliance that exists in natural organisms. Inspiration of achieving such compliance and to take the full advantage of the design scheme of biological systems compelled researchers and scientists to develop systems avoiding conventional rigid structures. This ambition, to produce biological duos, needs soft and more flexible materials and structures to realize innovative robotic systems. This new footpath to craft biological mockups facilitates further to exploit new materials, novel design methodologies and new control techniques. This paper presents an appraisal on such innovative comprehensions, conferring to their design specific importance. This demonstration is potentially useful to prompt the novelty of soft robotics.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.117-126
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• 2016

This study focuses the importance of relation between information attributes and communication of internet user. The author is to clarify how to communicate in internet environment and word-of-mouth as a result of social influence among internet user take place in relation to information attributes. The main findings are that comprehensive ease, relevance and novelty among information attributes positively influence reciprocal communication, reciprocal communication positively influences internalization and conformity, and those positively influence word-of-mouth communication.

• Research in Community and Public Health Nursing
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• v.18 no.3
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• pp.441-451
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• 2007

Purpose: The purpose of this study is to analyze the smoking behaviors and to identify the impacts of depression, temperament, and characteristic on smoking experience in the female adolescents. Methods: This study surveyed 691 highschool girls in the Gangwon area using self -administered questionnaires. Data were analyzed by SPSS 12.0. using Pearson correlation coefficient and multiple regression. Results: The smoking rate of the highschool girls was lower than that of the national average. Depression was observed to be seriously in the highschool girls. There were a positive correlations among smoking experience, the school records and novelty seeking and a negative correlation between smoking and cooperativeness. The significant predictors of smoking experience were the type of school, the satisfaction with school the school records, novelty seeking, reward dependence and cooperativeness. Conclusion: These results suggest that femalel adolescents who have the factors identified in this study are considered to have the potential for smoking. These results provide the basis for developing smoking prevention and cessation programs.

• Journal of the Korean Home Economics Association
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• v.45 no.1
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• pp.51-61
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• 2007

The purpose of this study was to examine if multi-shop's store image affects store loyalty and brand switching. Two hundred fifty females and males who have purchased fashion products in multi-shop participated in this survey. For data analysis, descriptive statistics, factor analysis, Pearson's correlation and regression analysis were used for this study. The results were as followed. First, respondents' the most favorite multi-shop was MUE, followed by Boon the shop and ABC mart. Second, store image was classified into four factors such as store atmosphere, service of store, store recognition and product variety. Store loyalty was classified into five factors such as emotional relationship, pursue of novelty, trust about salesperson, satisfaction about service, and active loyalty. Third, result revealed that 'product variety' and 'store atmosphere', 'store recognition', 'service of store' accounted for 39.6% of the explained varience in store loyalty, and 'store recognition' accounted for 4% of the explained varience in brand switching behavior, while 'trust about salesperson', 'pursue of novelty' accounted for 5% of the explained varience in brand switching behavior. Based on these results, multi-shop's fashion marketing strategy would be suggested.

• The Mathematical Education
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• v.46 no.4
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• pp.407-421
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• 2007

The purpose of this study is to identify the item characteristics that are supposed to affect item difficulty and to estimate the regression equations for predicting item difficulty of mathematics in the College Scholastic Ability Test(CSAT). We selected six variables related to item characteristics based on learning theories: contents, cognitive domain, novelty, item type, number of concepts, and the amount of computation. With data of the CSAT mathematics test administered in 2004-2006, item difficulty was regressed on the six variables, the location of an item, and the item writer's judgment on difficulty. The novelty of an item was found to be a statistically insignificant variable in explaining item difficulty. Four regression equations with different sets of independent variables could explain $70%{\sim}80%$ of the item difficulty variance and were validated as predicting item difficulty of the mock CSAT in 2006.

• Journal of Fashion Business
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• v.24 no.6
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• pp.109-119
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• 2020

As interest in the environment increases, consumers increasingly choose to buy products with eco-friendly production processes. The purpose of this study was to determine the effect of consumption values and materialism/voluntary simplicity on the attitudes and purchase intentions toward eco-friendly fashion products. A survey of university students in Seoul was conducted and 203 questionnaires were analyzed using SPSS 23.0. The consumption values consisted of six factors: subjective value, novelty value, social value, brand value, practical value, and health/safety value. Materialism/voluntary simplicity was grouped into two factors of materialism pursuit and voluntary simplicity pursuit. Brand values were found to negatively affect attitudes toward eco-friendly fashion products. The more one pursued brand names, the more negative was one's attitude toward eco-friendly fashion products. Health/safety values had a positive effect on purchase intentions for eco-friendly fashion products and voluntary simplicity pursuit had a positive effect on both attitudes and purchase intentions. The materialist group had high subjective value, novelty value, social value, and brand value among the consumption values, and the voluntary simplicity-seeking group tended to pursue the value of health and safety. This study was meaningful in that it identified the characteristics of consumers showing favorable attitudes toward eco-friendly fashion products.