• Title/Summary/Keyword: 인구통계적 특징

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Comparison of Recommendation Techniques for Web-based Design Personalization Service (웹기반 개인화 디자인 서비스를 위한 효과적인 추천 기법의 비교 연구)

  • Seo, Jong-Hwan;Byun, Jae-Hyung;Lee, Kun-Pyo
    • Science of Emotion and Sensibility
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    • v.9 no.spc3
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    • pp.179-185
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    • 2006
  • This study examines and compares various recommendation techniques which have been used successfully in other fields and seeks for opportunity to improve design personalization service more effectively. Throughout the literature study, several major recommendation techniques were identified, namely 'contents-based filtering', 'collaborative filtering', and 'demographic filtering'. In order for finding out relative advantages and disadvantages, a case study was carried out by applying different techniques. The result showed that in general, demographic filtering was evaluated least efficient among the techniques. Content-based filtering showed the best efficiency among them. Another significant finding was that the collaborative filtering had a better efficiency as the number of test subjects is increased. In conclusion, we suggest that design recommendation services can be improved by applying contents-based or collaborative filtering for better efficiency of recommendation. And, if the number of test subjects is large enough, it may be possible to remarkably improve the efficiency of design recommendation services by using collaborative filtering.

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A Learning Model for Recommendation of Humor Documents (유머문서 추천을 위한 기계학습 기법)

  • 이종우;장병탁
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04b
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    • pp.253-255
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    • 2001
  • 인터넷을 통한 사용자의 선호도를 분석하고 협력적 여과 및 내용기반 여과 기술을 결합 이용하여 유머문서를 추천하는 MrHumor 시스템을 구축하였다. 유머문서 추천 기술은 다양한 아이템에 대한 여과 및 추천 기술로 확장되어 인터넷을 통한 과다 정보 시대에 필요한 소프트봇 혹은 지능형 에이전트 기술에 적용될 수 있다. MrHumor 추천시스템은 적응형 학습 시스템으로서 새로운 사용자의 선호도에 대한 학습량과 추천시기에 따라 이용할 추천방식이 다른 성능을 보이는데 여러 가지 상황에서도 적절한 동작을 보이기 위하여 MrHumor에서는 은닉변수 모델을 이용하여 사용자의 인구통계적 정보와 문서의 내용적 특징간의 관계를 학습하여 초기 추천을 행하고 SVM을 이용하여 개인의 선호도를 학습한 내용 기반의 여과와 적응형 k-NN모델을 이용한 협력적 여과를 결합하여 추천을 수행한다. 제안된 방식에 의한 추천 성능은 3방식이 각각 이용된 경우에 비해 안정적이고 높은 예측 정확도를 보인다.

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Using Mobile Phone Data, Analyzing Floating Population Near University Areas in Daegu, South Korea, before and after Covid-19 - with a focus on Comparisons with Seoul (통신사 빅데이터를 활용한 코로나 전염병 전후 대구 대학가 유동인구 분석 - 서울과의 비교를 중심으로)

  • Kim, Jae-Hun;Son, Ji-Hoon;Park, Han-Woo
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.62-70
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    • 2022
  • This study investigates the temporal structure and movement of floating people near university areas in Daegu metropolitan city, South Korea, before and after Covid-19. In order to determine Daegu's position, the current study compares Daegu and Seoul. The floating population is used as an index to reveal people's various activities in the area known as the local business district, which surrounds the university campus. The information was provided by mobile phone manufacturers. A municipal authority managed a public website where mobile data was made available. Several statistical and visualization techniques were used after the data pre-processing steps. As a result, the floating population fluctuation patterns in both cities in the first half of 2019 and 2020 were comparable. When the Covid-19 diffusion rate in Daegu stabilized in the second half of 2020, the floating population in Daegu increased slightly over the previous year, while the population in Seoul decreased due to the second wave of Covid-19.

An Explorator Spatial Analysis of Shigellosis (세균성 이질의 탐색적 공간분석)

  • 박기호
    • Journal of the Korean Geographical Society
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    • v.34 no.5
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    • pp.473-491
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    • 1999
  • 세균성 이질은 국내 제1종 법정 전염병으로 분류되어 관리되고 있는 질환으로서 1998년 이후 그 발병 사례가 급속히 증가하고 있다. 본 연구는 1999년 3월 부산시 사상구에서 집단 발병한 세균성 이질을 대상으로 하여, 각 환자들의 발병 시점과 장소의 분포패턴에 대한 지리학적 고찰을 목적으로 한다. 환자분포의 특징적 공간패턴과 그들의 시계열적 확산 양상 등을 탐색하기 위한 방법론은 보건지리학과 지도학 및 공간통계학에 기반을 둔 공간분석기법을 중심으로 설정하였다. 분석자료는 해당 지역의 수치지형도, 지적도, 인구 센서스 자료를 포함한 GIS 데이터베이스로 구축되었다. 인구분포를 감안한 밀도구분도를 바탕으로 개별환자의 위치자료와 동 단위로 집계된 자료를 자료의 형태에 따라 분석기법을 달리하였으며, 환자 발생 밀도, 상대적 위험지수 등을 지도화하여 역학자료의 시각적 통계적 분석을 수행하였다. 환자분포의 공간적 중심위치와 분산의 변화 등 기술적 통계분석과 함께 제1차 공간속성을 커널추정법으로 찾아보았다. 이와 더불어 ‘공간적 의존성’과 관련된 제2차 공간속성은 K-함수와 시뮬레이션을 통해 분석하여 군집성 등이 통계적으로 확인되었다. 본 연구를 통해 역학조사시 GIS의 활용사례가 제시되었으며, 모집단 인구를 고려한 확률지도 작성 기법과 다양한 데이터 가시화 방법, 그리고 시계열별 발생 환자들의 지리적 변이를 분석 하는데 따르는 문제들이 논의되었다.

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The Pattern and Determinants of Demographic Transition in African Countries (아프리카의 인구변천 유형과 특성)

  • Chung, Sung-Ho
    • Korea journal of population studies
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    • v.31 no.1
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    • pp.127-146
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    • 2008
  • Over the past four decades reproductive behavior has changed slowly in much of the African countries. The average total fertility rate has fallen from six or more to near five today. Between 1960 and 2000 the largest fertility decline occurred in such Northern African countries as Algeria, Libya, and Morocco. The mortality rate has decreased in most African countries. The purpose of this study is to review the pattern of demographic transition in African countries. At first, this study focuses on the fertility transition. In Africa, the total fertility rate has decreased from 6.59 to 4.85 between 1960 and 2000. The mortality rate has also decreased in most of African countries. It is also interesting to find that there is a clear difference among African countries. In terms of infant mortality rate, Libya shows the lowest rate(17), while Mali and Somalia remain still high rate(142 and 133, respectively). This study tests a path model in which infant mortality rate acts as an intermediate variable between three socioeconomic variables and the fertility rate. The findings of this paper substantiate some of our hypotheses on the interrelationships among socioeconomic variables, infant mortality rate, and fertility rate. The result also shows the indirect effects of socioeconomic variables on fertility rate via infant mortality.

An Empirical Study of Customer's Repeat Visit Frequency on the Internet (인터넷 이용자들의 웹사이트 재방문 빈도에 관한 실증적 연구)

  • Lee, Suke-Kyu
    • Journal of Global Scholars of Marketing Science
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    • v.11
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    • pp.129-146
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    • 2003
  • This study explores whether a NBD type of model can be applied to characterize the underlying frequency distribution of online consumer's visit behavior. In this study, the following two research questions are addressed: (1) How can we characterize the underlying distribution pattern(s) of the number of repeat i i visits to a site? (2) How can consumer's Internet usages and his/her demographics affect the average number of visits to the site? Through the empirical investigation, this study found that NBD models are directly applicable to characterize the underlying distribution of visit frequency on the Internet. Furthermore, this study addresses some managerial implications for understanding how site visits are determined. Especially this study highlights the relationship between repeated visits and the visitors' Internet Usages and demographics. The proposed models are estimated and validated by online panel data that covers more than 1000 different sites and has 800,000 observations.

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The Clothing Selection Criteria according to Consumers' Eco-friendly Attitude and Demographic Characteristics (소비자의 친환경 태도 및 인구통계적 특성에 따른 의복선택 기준의 특징)

  • Park, Younghee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.1
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    • pp.11-22
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    • 2016
  • The purpose of this study was to analyze the statistical differences and the correlation between eco-friendly attitudes and clothing selection criteria according to gender and age. 150 people in their 20s to 50s were surveyed for this study. The results were as follows. The factors to eco-friendly attitudes were drawn as seven factors. The difference analysis result for eco-friendly attitude according to gender and age showed a significant difference. The results of factor analysis showed that there were four factors in clothing selection criteria. The difference analysis result of clothing selection criteria according to gender showed a significant difference. The analysis results for the effect of eco-friendly attitude on clothing selection criteria showed that the eco-friendly group recognized health and eco-friendly property as more important clothing selection criteria, but the non-eco-friendly group recognized aesthetic as more important one. The result of this study will help product planners in the clothing product development and the market segmentation according to eco-friendly attitude.

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A study on the Factors Influencing the Frequency of Closet Cleanup Behavior (옷장 정리 행동 빈도에 영향을 미치는 요인에 관한 연구)

  • Park, Hyun-Hee;Ku, Yang-Suk
    • Fashion & Textile Research Journal
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    • v.21 no.1
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    • pp.36-45
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    • 2019
  • In 2000s, the rapid growth of domestic and foreign fast fashion brands led to an increase in the frequency of shopping for consumers and a significant reduction in the average life span of fashion products. As the kinds and quantity of fashion products owned by individuals increase, the problem of rational clothing management becomes a new concern. The purpose of this study was to investigate the demographic, socio-psychological and purchase behavior factors influencing the frequency of closet cleanup behavior. A total of 278 questionnaires were analyzed. Frequency, exploratory factor analysis, reliability, t-test and regression analysis were used for data analysis using SPSS 22.0. This study results were as follows. First, the frequency of women's closet cleanup behavior was higher than that of men's closet cleanup behavior. Second, the number of brothers and sisters significantly affected the frequency of closet cleanup behavior. Third, the stronger the attachment to fashion products, the higher the frequency of closet cleanup behavior. Fourth, the lower the fashion product retention tendency, the higher the frequency of closet cleanup behavior. Fifth, the higher the frequency of purchasing fashion products, the higher the frequency of closet cleanup behavior. The results of current study provide various implications for educators and marketers who are interested in reasonable management behavior of fashion goods.

Segmentation of the Cosmetics Market according to Shopping Orientation (구매성향에 따른 화장품시장 세분화)

  • Hwang Choon Sup
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.12 s.138
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    • pp.1632-1643
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    • 2004
  • The competitiveness of the domestic cosmetics market will improve more rapidly when efficient market segmentation is secured, qualitative information about each of the segmented markets is gathered, and adequate marketing strategies to meet the demands of each segmented markets is established. Therefore, continuous studies are needed to secure qualitative information for market segmentation. In order to find out whether the domestic cosmetics market could be segmented according to consumers' shopping orientation, the present study analyzed cosmetics purchasing behavior, complaint behavior, and demographic characteristics of each consumer group classified according to their shopping orientation. The study was implemented by a normative-descriptive survey method using a questionnaire. Three groups of consumers were identified according to their shopping orientation: price-oriented group, information-oriented group, and brand-oriented group. It was confirmed that the groups, classified according to shopping orientation, have significantly different demographic, purchasing, and complaint behavior. Therefore, shopping orientation should be carefully considered in the segmentation of the cosmetics market.

Fashion Leadership, Market Mavenism, and Store Evaluative Criteria (패션선도력, 시장전문성, 점포평가기준에 관한 연구)

  • Kim, Hye-Shin;Yoh, Eun-Ah
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.6
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    • pp.904-915
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    • 2009
  • This study compares fashion leaders and market mavens by examining the demographic characteristics of fashion leaders and market mavens and how they differ in their evaluation of store and shopping related attributes. Data originated from a national consumer mail survey in the United States. The survey included items measuring market mavenism, fashion leadership, store evaluative attributes, and personal information. Responses from 380 consumers were used for data analysis. Female consumers were found to be more active in word-of-mouth activities in general. Young consumers were more inclined to express fashion leadership while age was not related to market mavenism. A lower level of education increased tendencies for both market mavenism and fashion leadership. In terms of store evaluative criteria, the majority of items in the survey were more important as fashion leadership and market mavenism tendencies increased. Interestingly, the need for knowledgeable or helpful salespeople did not increase with fashion leadership tendencies. Also, fashion leaders were interested in easy return of merchandise and were likely to spend more time in the stores. This study sheds important light on how fashion leadership differ compared to market mavenism. By simultaneously examining fashion leadership and market mavenism using a strong sample base, this study provides sound evidence of how consumers interested in fashion may have differing needs for shopping.