• Title/Summary/Keyword: 상품 특성

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Development of Augmented Reality Framework for Augmenting Information of Relics on Cultural Products (문화상품을 활용한 유물 정보 증강현실 프레임워크 개발)

  • Kim, Ki-Hong;Yu, Jeong-Min
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.363-365
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    • 2019
  • 본 논문은 4차 산업혁명 시대에 발맞춰 문화유산과 최첨단 ICT 기술을 이용한 연구로 문화유물에 대한 대상으로 제작된 문화상품을 증강현실 기술로 유물의 가치와 우수성에 대한 정보를 사용자 맞춤형 기반 유물의 다양한 메타데이터를 전달 할 수 있는 시스템을 제안한다. 문화상품을 마커로 인식하는 마커리스 기술로 정보를 인식하여 장소와 상관없이 문화유물의 특성을 알리고 효과적으로 널리 알리는 기술적 방법을 제안한다. 이와 같은 형태의 증강현실 기술로 문화유물에 대한 가치를 전파하고 문화유산의 유형에 따른 콘텐츠의 특성화 방안을 제안하여 교육용 산업용 홍보용 등 다양한 사용 목적에 맞게 대중화 실현에 기여하고자 한다.

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Impact of Semantic Characteristics on Perceived Helpfulness of Online Reviews (온라인 상품평의 내용적 특성이 소비자의 인지된 유용성에 미치는 영향)

  • Park, Yoon-Joo;Kim, Kyoung-jae
    • Journal of Intelligence and Information Systems
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    • v.23 no.3
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    • pp.29-44
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    • 2017
  • In Internet commerce, consumers are heavily influenced by product reviews written by other users who have already purchased the product. However, as the product reviews accumulate, it takes a lot of time and effort for consumers to individually check the massive number of product reviews. Moreover, product reviews that are written carelessly actually inconvenience consumers. Thus many online vendors provide mechanisms to identify reviews that customers perceive as most helpful (Cao et al. 2011; Mudambi and Schuff 2010). For example, some online retailers, such as Amazon.com and TripAdvisor, allow users to rate the helpfulness of each review, and use this feedback information to rank and re-order them. However, many reviews have only a few feedbacks or no feedback at all, thus making it hard to identify their helpfulness. Also, it takes time to accumulate feedbacks, thus the newly authored reviews do not have enough ones. For example, only 20% of the reviews in Amazon Review Dataset (Mcauley and Leskovec, 2013) have more than 5 reviews (Yan et al, 2014). The purpose of this study is to analyze the factors affecting the usefulness of online product reviews and to derive a forecasting model that selectively provides product reviews that can be helpful to consumers. In order to do this, we extracted the various linguistic, psychological, and perceptual elements included in product reviews by using text-mining techniques and identifying the determinants among these elements that affect the usability of product reviews. In particular, considering that the characteristics of the product reviews and determinants of usability for apparel products (which are experiential products) and electronic products (which are search goods) can differ, the characteristics of the product reviews were compared within each product group and the determinants were established for each. This study used 7,498 apparel product reviews and 106,962 electronic product reviews from Amazon.com. In order to understand a review text, we first extract linguistic and psychological characteristics from review texts such as a word count, the level of emotional tone and analytical thinking embedded in review text using widely adopted text analysis software LIWC (Linguistic Inquiry and Word Count). After then, we explore the descriptive statistics of review text for each category and statistically compare their differences using t-test. Lastly, we regression analysis using the data mining software RapidMiner to find out determinant factors. As a result of comparing and analyzing product review characteristics of electronic products and apparel products, it was found that reviewers used more words as well as longer sentences when writing product reviews for electronic products. As for the content characteristics of the product reviews, it was found that these reviews included many analytic words, carried more clout, and related to the cognitive processes (CogProc) more so than the apparel product reviews, in addition to including many words expressing negative emotions (NegEmo). On the other hand, the apparel product reviews included more personal, authentic, positive emotions (PosEmo) and perceptual processes (Percept) compared to the electronic product reviews. Next, we analyzed the determinants toward the usefulness of the product reviews between the two product groups. As a result, it was found that product reviews with high product ratings from reviewers in both product groups that were perceived as being useful contained a larger number of total words, many expressions involving perceptual processes, and fewer negative emotions. In addition, apparel product reviews with a large number of comparative expressions, a low expertise index, and concise content with fewer words in each sentence were perceived to be useful. In the case of electronic product reviews, those that were analytical with a high expertise index, along with containing many authentic expressions, cognitive processes, and positive emotions (PosEmo) were perceived to be useful. These findings are expected to help consumers effectively identify useful product reviews in the future.

해동피(海桐皮)와 갈근(葛根)을 이용한 닭고기 개발에 대한 연구

  • 추상용
    • Culinary science and hospitality research
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    • v.5 no.2
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    • pp.59-89
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    • 1999
  • 본 연구는 기존의 삼계탕재료에 해동피와 갈근의 축출액을 넣어서 조리를 하여 특성변화와 기호도를 검토하고자 4주령(28일)의 부로일러 종 50수 각 처리구당 해동닭 15수, 삼계탕 15수, 일반닭 15수씩 총 3개 처리구에 배치하여 상품개발을 위한 실험결과를 요약하면 다음과 같다. 영양분석에서 단백질은 해동닭이 작게는 10.07%~11.08%까지 높게 분석되었고 지방은 해동닭이 삼계탕보다는 0.04% 더 많으며 일반닭보다는 4.65%나 작았다. 특히 적육(Red-meat)에서는 다른 흰살(White-meat) 고기의 닭고기에서는 우리인체에 중요한 작용을 하는 생체의 성장기능, 번식기능과 치료효과의 동맥경화증, 혈전억제 효과가 있다고 하는 불포화지방산(Omega-polyunsaturated fatty acide, 3, 6)( $\omega$-3, 6)을 함유하고 있어 지속적인 식도락가의 사랑을 받을 것으로 예측된다. 회분함량도 상대적으로 많으며 수분도 조리의 특성상 증발하지 못한 관계로 그대로 있어 수분과 조리로 인하여 손실되는 영양상태를 그대로 유지할 수가 있었다. 관능테스트에서는 <그림2-1, 2, 3>과 <표 2-10>에서 분석결과를 보듯이 제일 중요한 점은 고객의 기호도라 볼 수 있겠다. 시각적인 면만 약간 개선된다면 정말로 말할 수 없을 정도로 흡족한 상품이라 할 수 있겠다. 해동닭이 후각 90%, 맛 97%, 조직도 83%, 만족도 97%를 보면 그 누가 훌륭한 상품이라고 하지 않겠는가 하는 아쉬움을 가지며 시각적인 면도 해동피, 갈근, 황기, 인삼, 밤, 마늘, 대추, 은행, 생강, 고추 등 고객의 관심도가 높은 의 한약재료가 들어가는 것을 안다면 그리 문제가 되지 않는다고 보며 단지 문제가 있다면 우리 국민 의식이 가공식품에 대한 인식전환과 시기적인 환경, 국민소득 12,000불대의 시대에 맞는 상품이기를 바란다.

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Effect of Resin Material on Molding Characteristics of Disposable Tray for Korean Food (재질이 도시락 용기의 성형 특성에 미치는 영향)

  • Park, Hyung-Woo;Koh, Ha-Young;Kang, Tong-Sam;Shin, Dong-Hwa
    • Korean Journal of Food Science and Technology
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    • v.20 no.2
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    • pp.252-255
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    • 1988
  • The molding characteristics, hardness and overall quality of the Korean style disposible food tray made from the low and medium density polystyene sheets were investigated and the results were obtained as follows. The volume difference of 8 sectional trays was 56.4% between the two materials, and that of 5 sectional trays was 41.8%. The more the sectional number of the tray, the larger the volume difference. Medium density polystylene tray had the better solid characteristics and overall acceptance than the low density polystlene tray.

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The Study of Characteristics of Consumer Purchasing Private Brand Products at Large-Scale Mart (국내 대형마트의 유통업체 브랜드 상품 구매 소비자의 특성 분석에 관한 연구)

  • Hwang, Seong-Huyk;Lee, Jung-Hee;Roh, Eun-Jung
    • Journal of Distribution Research
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    • v.15 no.4
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    • pp.1-19
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    • 2010
  • As having the movement of developing private brand (PB) goods, domestic big retailers are facing up with new problems. Thus, it is required studies of PB products, and how consumers recognize PB products as a consideration commodity set. Also, it is worthy in order that it gives us the important meaning on the marketing strategy with focusing on evaluating the differences between customers buying PB grocery goods with respect to demographic characteristics and purchasing behaviors. PB has some advantages for customers and retailers. However, according to AC Nielson's report (2005), Asian and emerging market has 1/5 sales relatively to Western countries. But we can assume that the emerging market has the most potential growth through this result. As a result from several other studies, it becomes necessary to not only increase the rate of selling composition of PB product temporarily, but also analyze the characteristics of customers using big retailers and segmenting customer groups to make PB product as a consideration commodity set for them. In addition, it is needed to have a variety of acts of marketing. From studies related to PB, there is a prejudice - cheap products have low quality - but, evaluation by customers who have used those products shows neutral stand, and there is a study representing that it is the most important to accumulate the belief between the retailers selling PB products and consumers using those for the accurate evaluation and intention on purchasing. Also, by the result from analyzing the characteristics of customers buying PB products, we could assume that higher income and higher education level, more preference on PB products. Especially, according to TNS's research, the primary targets of PB product are 30's who seeks value for money and planned spending habits, and 40's who have teenager children, and are interested in encouraging themselves. This paper used Probit model to analyze the characteristics of consumers. This model helps us to analyze with the variables representing the demographic characteristics of consumers (gender, age, educational level, occupation, income level, living area), and variables related to purchasing behavior (visiting frequency on big retailers, the average amount that they pay for goods in there, and check-up which brand made those goods). The method we used in this study is by man to man interview and survey on-line with the rate of 89% and 11% in Seoul and Gyunggi Province, respectively, for about one month from the beginning of February, 2008. As a result of this, under the assumption that people buy PB products more as long as they go shopping more, it was not meaningful for target groups which we pointed out as frequently visiting customers to be. Although, we have expected women buy more PB products than men do, gender doesn't mean anything for the result. And, it has inferred that married people buy more PB goods than singles do. It was also meaningless with variables related to occupation. Because housewives are often exposed to any kind of supermarket than workers are, we could not get any relatives. Moreover, we couldn't proof that younger generation prefer big retailers more than older people who 50~60's. Education levels doesn't affect on the purchase of PB product as well. Related to living area, the result is statistically not similar as we expected whether living in Seoul or not. It shows there is no relationship with the preference on retail brands and PB products, and it is similar with the study researched by TNS(2008) that customers tend to buy PB product impulsively no matter which brand it is and where they are even though their shopping place is the big market where customers are often using. Variables on which we had meaningful results are income level and living place. That is, customers who have 3,000,000~6,000,000 WON every month on average are more willing to buy PB products than other customers whose income is over 6,000,000 WON, and residents not living in Seoul prefer PB goods than those who are living in Seoul. To explain more about what we got, if there is only one condition about customer's visiting frequency on big retails, we could come up with this result that more exposed to PB products, more purchasing frequency. Consequently, it brings the important insight that large retailers have to prepare something to make customers visit them often to increase selling rate of PB products. To demonstrate the result of analyzing more, what is more efficient variables are demographically including marital status, income level, and residential area to buy items that affect the PB products and could include the frequency of visiting large markets by the purchase habits. Specifically, then, married couples rather than singles, middle-income customers than high-income customers, and local residents not living in Seoul than customers in Seoul are more likely to purchase PB goods. In addition, as long as a customer visits two times more, then the purchasing rate of PB products is to increase over 5.3%. Therefore, it seems that retailers are better to make a shopping place as fun and comfortable places. With overwhelming the idea that PB products are just cheap, one-time purchase goods, it is needed to increase the loyalty on those goods like NB products, try to make PB products as a consideration products set, and occur to sustainable sales. Especially, as suggested by this paper, it seems like it strongly needs to identify the characteristics of customers who prefer PB, to segment those customers, and to select the main target, and to do positioning with well-planned marketing strategies. Then, it is able to give us a meaningful point on marketing strategy by developing the field of PB study, identifying the difference of life style and shopping habits of customers.

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A Multi-dimensional Shopping Agent in Electronic Commerce (전자상거래를 위한 다차원 쇼핑에이전트)

  • 김택헌;양성봉
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.90-92
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    • 1999
  • 최근 전자상거래를 위해 개발되는 대부분의 쇼핑에이전트들은 고객의 선호도를 고려하지 않은 일차원적인 비교, 예를 들어 가격비교 기능만을 가지고 있다. 이러한 일차원적 비교는 다양한 상품 특성을 고려할 수가 없다. 고객이 상품을 구매할 때 만족을 얻지 못하는 것은 그들이 서로 다른 성향을 가지고 있기 때문이다. 따라서 고객에게 가치 있는 상품 정보를 제공할 수 있는 지능형 쇼핑에이전트의 개발이 전자상거래에서 요구된다. 본 논문에서 우리는 다차원 비교쇼핑을 지원하는 지능형 쇼핑에이전트를 제안한다. 이것은 다양한 고객 선호도에 따른 고객의 요구에 부합되도록 한다. 고객의 선호도를 예측하기 위해서 쇼핑에이전트는 고객으로부터의 피드백과 트랜잭션 정보를 분석한다. 그리고 다음 구매를 위해 고객 선호도를 재 산정한다. 이러한 지능형 쇼핑에이전트는 고객 선호도의 변화에 능동적으로 적응해야 한다. 본 연구의 대상 상품은 책이다. 본 논문에서 제안하는 쇼핑에이전트는 서로 다른 선호도를 가진 각각의 고객에 대해서 유용한 결과를 보인다. 이러한 실험을 통해 우리는 고객 선호도의 변화를 확인할 수 있다.

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협업필터링 추천시스템에서 개인별 선호도의 표준화에 따른 예측성능의 영향

  • Lee, Hui-Chun;Kim, Seon-Ok;Lee, Seok-Jun
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.597-602
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    • 2007
  • 본 연구는 추천시스템에서 협업필터링 알고리즘을 이용하여 특정 상품에 대한 고객의 선호도를 예측함에 있어 고객이 상품에 대해 평가한 선호도 평가치를 고객별로 표준화시켜 예측하여 기존의 예측 정확도를 향상시키는 방법에 대하여 연구하였다. 일반적으로 상품에 대한 고객의 선호도를 평가하기 위하여 절대적 기준의 수치적 척도가 제공되지만 개인에 따라서는 상품에 대한 선호 정도가 절대적 척도에 다르게 반영되어 개인별 선호도에 차이가 발생할 수 있다. 이러한 개인적 특성이 동일한 척도의 평가치로 예측되면 예측 결과의 오차를 크게 할 가능성이 있다. 또한 개인이 평가한 선호도 평가치의 편차가 협업필터링 알고리즘을 통한 선호도 예측 정확도와 밀접한 관계를 가지고 있음을 알 수 있었으며 이러한 문제를 해결하기 위하여 개별 고객이 평가한 선호도 평가치를 표준화시켜 표준화된 선호도 평가치를 이용한 선호도 예측을 실시하였다. 분석결과 표준화된 선호도 평가치를 이용한 예측 결과가 비표준화 선호도 평가치를 이용한 예측 결과보다 예측력이 우수함을 알 수 있었으며 결과에 대한 통계적 분석을 통하여 표준화된 선호도 평가치를 이용한 선호도 예측 방법과 비 표준화 선호도 평가치를 이용한 선호도 예측 방법을 혼합할 경우 선호도 예측 정확도를 더 향상시킬 수 있음을 알 수 있었다.

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A Case Study on the Risk of Stepdown ELS (스텝다운형 주가연계증권의 위험률 고찰)

  • Kim, Hee-Sun;Yeo, In-Kwon
    • The Korean Journal of Applied Statistics
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    • v.24 no.6
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    • pp.1021-1031
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    • 2011
  • Equity linked securities are indirect investments where the return of investment depends on the performance of the underlying equities. In this paper, we review the profit structure of typical equity linked securities through a profit diagram and investigate which characteristics of time series at the investment affect the early repayment of the stepdown ELS based on KOSPI 200 and HSI. We also compare VaRs using the empirical distribution function for risk management.