• Title/Summary/Keyword: Online search

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Consumer을s Information Search and Satisfaction for Elderly related Goods on the Internet Shopping (실버용품 구매시 인터넷을 활용한 소비자 정보탐색 및 만족도에 관한 연구)

  • 정현정;계선자
    • Journal of Family Resource Management and Policy Review
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    • v.6 no.1
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    • pp.149-165
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    • 2002
  • This study is to understand consumer's information search activity and satisfaction. When they buy the elderly related goods through internet market and to get some ideas for silver industry on internet shopping. The 382 subjects by online banner formatted Questionnaires were analyzed by frequency, percentage, standard deviation, Person's relation and regression analysis by SPSS PC program. The major findings are summarized as follows. (1) The most respondents were young and well-educated. In terms of psychological variables, the degree of the consumer's perception for internet usefulness and using capability were relatively high. (2) Information search amount of the group who have experienced purchasing elderly related goods through internet shopping and had low perception of internet risk is higher than other group. (3) The variables influenced mostly on consumer satisfaction were the age, the sex, the purchasing experience from Internet shopping, the Internet using capacity and the perception of internee usefulness as well as of the perception of internet risk.

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Determinants of Online Price Sensitivity Using Web Log Data (웹 로그 데이터를 이용한 온라인 소비자의 가격민감도 영향 요인에 관한 연구)

  • Jun Jong-Kun;Park Cheol
    • Journal of Information Technology Applications and Management
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    • v.13 no.1
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    • pp.1-16
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    • 2006
  • This paper empirically analyzed consumer price search behavior using Web log data of a Korean web site for price comparison. Consumer click-stream data of the site was used to test the effects of price level, product category, third party certification, reputation of retailers on click behavior. According to the descriptive statistics, 67.4% of shopbot users clicked the offer which was the lowest price returned in a search. We found that third party certification and reputation of retailers were significant determinants of clicking the lowest priced offer from legit analysis. We also applied Tobit regression analysis to estimate the price premium of the two determinants, but only reputation of retailers was found to have price premium of 4.9%.

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An Analysis on Internet Information using Real Time Search Words (실시간 검색어 분석을 이용한 인터넷 정보 관심도 분석)

  • Noh, Giseop
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.337-341
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    • 2018
  • As the online media continues to evolve and the mobile computing environment has improved dramatically, the distribution of Internet information has rapidly changed from one-sided to consumer-oriented. Therefore, measuring the interest of Internet information has become an important issue for suppliers and consumers. In this paper, we analyze the Internet information interest by analyzing the duration of real - time query by collecting data for one month by implementing real - time search word provided by domestic Internet information provider.

A Hybrid Collaborative Filtering-based Product Recommender System using Search Keywords (검색 키워드를 활용한 하이브리드 협업필터링 기반 상품 추천 시스템)

  • Lee, Yunju;Won, Haram;Shim, Jaeseung;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
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    • v.26 no.1
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    • pp.151-166
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    • 2020
  • A recommender system is a system that recommends products or services that best meet the preferences of each customer using statistical or machine learning techniques. Collaborative filtering (CF) is the most commonly used algorithm for implementing recommender systems. However, in most cases, it only uses purchase history or customer ratings, even though customers provide numerous other data that are available. E-commerce customers frequently use a search function to find the products in which they are interested among the vast array of products offered. Such search keyword data may be a very useful information source for modeling customer preferences. However, it is rarely used as a source of information for recommendation systems. In this paper, we propose a novel hybrid CF model based on the Doc2Vec algorithm using search keywords and purchase history data of online shopping mall customers. To validate the applicability of the proposed model, we empirically tested its performance using real-world online shopping mall data from Korea. As the number of recommended products increases, the recommendation performance of the proposed CF (or, hybrid CF based on the customer's search keywords) is improved. On the other hand, the performance of a conventional CF gradually decreased as the number of recommended products increased. As a result, we found that using search keyword data effectively represents customer preferences and might contribute to an improvement in conventional CF recommender systems.

Dynamic Weight Adjustment Algorithms for Deriving Stacking Policies of Automated Container Terminals (자동화 컨테이너터미널의 장치 위치 결정을 위한 동적 가중치 조정 알고리즘)

  • Kim, Young-Hun;Park, Tae-Jin;Ryu, Kwang-Ryel
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2007.12a
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    • pp.255-256
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    • 2007
  • In case of inappropriate stacking position of the container taking in container yard, the working time for the container would be delayed in taking out because of the occurrence of the re-handle and the increase of the crane moving time. We have to take into account a variety of elements like the crane interference, the container group and stacking height in order to determine the optimal stacking position and decide the weight reflecting the importance of these criteria. We propose the dynamic weight adjustment algorithm for the stacking policy criteria employing the online search in this research.

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The Association Between Occupational Exposure to Hand-Arm Vibration and Hearing Loss: A Systematic Literature Review

  • Weier, Michael H.
    • Safety and Health at Work
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    • v.11 no.3
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    • pp.249-261
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    • 2020
  • Background: Hearing loss is one of the most prevalent worker health conditions worldwide. Although the effect of noise exposure on hearing is well researched, other workplace exposures may account for significant hearing loss. The aim of this review was to determine whether occupational hand-arm vibration exposure through use of power or pneumatic tools, independent of noise exposure, is associated with permanent hearing loss. Do workers suffer from hand-arm vibratione-induced hearing loss? Methods: Peer-reviewed articles published in English between 1981 and 2020 were identified through five online databases with five search keywords. Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, including online database search methodology, study selection, article exclusion, and assessment of potential study design confounders and biases, were followed. Results: Database searches retrieved 697 articles. Fifteen articles that reported 17 studies met the criteria for review. All but two studies revealed statistically significant associations between occupational exposure to hand-arm vibration and hearing loss. The majority of the study results revealed associations between hand-arm vibration and hearing loss, independent of potential age and noise confounders. Conclusion: Few studies have examined the association between occupational exposure to hand-arm vibration and hearing loss. Dose response data were limited as only one study measured vibration intensity and duration. Although the majority of studies identified statistically significant associations, causal relationships could not be determined. Further research using standardized and uniform measurement protocols is needed to confirm whether the association between occupational exposure to hand-arm vibration and permanent hearing loss is causal and the mechanism(s).

Information Searching on STN Web (STN Easy & ChemPort) (인터넷 웹에서의 STN 검색)

  • Yoo, Sun-Hi
    • Journal of Information Management
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    • v.30 no.1
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    • pp.11-28
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    • 1999
  • STN(The Scientific & Technical Information Network) is a fee-based, comprehensive, online search service that provides. accurate, up-to-date information from over 200 scientific, technical, business, and patent databases. STN Easy(http: //stneasy.cas.org) provides point-and-click access to 59 selected key STN databases on the web, and it gives drawings and 3-dimensional chemical structures as well as citation-abstract informations. And information searchers are now able to access full-text documents from key scientific publishers and patent offices through STN Easy via the ChemPort(http://www.chemport.org) connection.

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An Analysis of Online Catalogs' Interface of Elementary School Libraries (초등학교 도서관 온라인목록의 인터페이스 분석)

  • SaKong, Bok-Hee
    • Journal of the Korean Society for information Management
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    • v.24 no.3
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    • pp.149-178
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    • 2007
  • The purpose of this study is to analyze and evaluate the characteristics of online catalogs' interface of elementary school libraries, and to propose how to design user-friendly interfaces. The online catalogs of elementary school libraries are categorized into 6 types. Such topics as the features of search methods, the record display formats, the terminology usage, and the special features of the 6 types are discussed. Some shortcomings are examined and how to improve them is suggested.

Decision Rules of Intelligent Agents for Purchase Pricing Decision (거래가격 결정을 위한 에이전트의 의사결정규칙에 대한 연구)

  • Chu Seok-Chin
    • The Journal of Information Systems
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    • v.14 no.2
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    • pp.55-74
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    • 2005
  • In order to purchase a product cheaper, a lot of customers have been trying to search one or more marketplaces. Ever since the commercial use of the Internet, several types of marketplaces have been operating successfully on the Internet. Some of them are online shopping malls, auction markets, and group-buying markets. They have the price settlement mechanisms of their own. Online shopping malls where many stores are located support a customer to purchase the product that matches his/her requests such as price, function, design, and so forth. In online auction market, a customer can buy the product by making bids sequentially and competitively until a final price is reached. In online group-buying market, a customer can purchase the product by aggregating the orders from several buyers so that cheaper prices can be negotiated. The cheaper customers could purchase the same product item, the more satisfied they would be. However, it is very difficult for the customer to determine the marketplace to purchase, considering different kinds of marketplaces at the same time. Even though the purchasing price is cheapest in one marketplace, it is very difficult for customers to convince it the cheapest for all marketplaces. Therefore, rules and methods have been developed for purchase decision making in multiple marketplaces to reach the optimal purchase decision as a whole. They can maximize customer's utility and resolve the conflicts with other marketplaces through multi-agent negotiation.

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Job type for recruitment, job function change and education direction in the fashion industry along with the growth of the online market (온라인 시장의 성장에 따른 패션산업 내 채용직종 및 직무 변화 및 교육방향)

  • Jeong, Hwa-Yeon
    • Journal of the Korea Fashion and Costume Design Association
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    • v.22 no.3
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    • pp.75-87
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    • 2020
  • As the online industry is vitalized by the fashion market, there is a tendency to believe that the recruitment of manpower in the online distribution field is increasing. Thus, this study attempts to analyze the job types and job functions for recruitment in the fashion industry based on job search sites and based on this, suggest an educational direction within the department of fashion design. First, when examining the size (number of employees) of fashion companies that posted jobs, the fashion companies with 30 or fewer employees accounted for 60.7% of the postings, and the location of the fashion companies was most commonly in Seoul with 144 companies located in Gangnam (Seocho-gu, Gangnam-gu). As for the recruitment conditions of the fashion companies, "academic level-irrelevant" was the highest with 42.6%, and in terms of gender and age, 59.3% of the cases were marked as "gender and/or age-irrelevant". Examining the types of jobs for recruitment in the fashion industry, fashion designers were the most popular at 52.6%, followed by on and off-line companies' MD, VMD, and stylist in that order. In the results of examining job function change, it is thought that the fashion design department should have basic educationon in that respect.