• Title/Summary/Keyword: online information search

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Product Reviews in YouTube

  • Jiyeol Kim;Cheul Rhee
    • Asia pacific journal of information systems
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    • v.30 no.4
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    • pp.741-757
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    • 2020
  • The outbreak of COVID-19 has changed our lifestyle. People spend much more time on YouTube, SNS and online shopping than before. Accordingly, the number of product review videos are steeply increasing in YouTube platform. When people watched the review videos, they might search additional information if they liked the videos. This study aims to investigate how the informativeness and the degree of attention gathering of product review videos influence on the product information sourcing intention and persuasion knowledge. We also try to find whether prior YouTube experience affects the relationship between the degree of attention gathering and persuasion knowledge. We conducted an online survey on 499 participants and analyzed using partial least square methods. Results show that 1) informativeness and the degree of attention gathering towards product review videos influence on the product information sourcing intention and user's persuasion knowledge. 2) Viewers' YouTube experiences moderate the increase of the viewers' persuasion knowledge caused by increasing the degree of viewers' attention gathering. This study implies that YouTube product review videos could be created in strategic manners. Also, it could be inferred that consumers' prior YouTube experiences may reduce negative potentials of the degree of attention gathering onto persuasion knowledge.

AHP Analysis Model for drawing Importance Priorities of IT Service developments for Smart Tourism (스마트관광을 위한 IT서비스 개발의 우선순위 도출을 위한 AHP 분석모델)

  • Kim, Keun-Hyung
    • The Journal of Information Systems
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    • v.28 no.4
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    • pp.49-64
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    • 2019
  • Purpose The purpose of this paper is to observe the relative priorities of importances among IT services for Smart tourism as well as the relative priorities of importances among ways for developing the IT Services. Design/methodology/approach AHP analysis model was designed with 3 layers in order to recognize the relative importances priorities of IT services and the ways developing the IT services in Smart tourism. The factors in the top layer consist of Pre-trip IT services, During-trip IT services and Post-trip IT services. The lower factors in second layer of the Pre-trip IT services consists of Tourism information search, Online reservation and Price comparison. The lower factors of the During-trip IT services consists of Context recognition, Virtual Reality and Drone Application. The lower factors of the Post-trip IT services consists of Interactive Sharing and Tagging. The factor of third layer, the ways of developing the IT services consist of Company leading, University leading and Industry-University Collaboration. The structural questionnaire based on the AHP analysis model was designed and used to survey experts in IT and tourism areas. The collected data by the question investigation was analyzed by AHP analysis technique. Findings The importance priority of During-trip IT service was highest among in the three type IT services of tourism life cycle. The importance priority of Price comparison service was highest among IT services for Pre-trip. The importance priority of the Context recognition service was highest among IT services for During-trip. The Interactive sharing service was highest among IT services for Post-trip. It would be confirmed for the IT service development ways of Company leading to be suitable for most of the It services, such as Tourism information search, Online reservation, Price comparison, Context recognition, Virtual reality, Drone application, Interactive sharing.

Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System (지도학습 머신러닝 기반 카테고리 목록 분류 및 추천 시스템 구현)

  • Lee, Hyung-Woo
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.57-65
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    • 2019
  • In the case of Domeggook B2B online shopping malls, it has a market share of over 70% with more than 2 million members and 800,000 items are sold per one day. However, since the same or similar items are stored and registered in different catalog entries, it is difficult for the buyer to search for items, and problems are also encountered in managing B2B large shopping malls. Therefore, in this study, we developed a catalog entry auto classification and recommendation system for products by using semi-supervised machine learning method based on previous huge shopping mall purchase information. Specifically, when the seller enters the item registration information in the form of natural language, KoNLPy morphological analysis process is performed, and the Naïve Bayes classification method is applied to implement a system that automatically recommends the most suitable catalog information for the article. As a result, it was possible to improve both the search speed and total sales of shopping mall by building accuracy in catalog entry efficiently.

A Study on Multichannel Selection according to Consumer's Price Sensitivity -Focusing on Fashion Products as Experience Goods and Digital Appliances as Search Goods- (소비자의 가격민감도에 따른 상품특성별 멀티채널 선택에 관한 연구 -경험재로서의 의류상품과 탐색재로서의 디지털 가전제품을 중심으로-)

  • Ahn, Hyun A;Kim, Chi Eun;Lee, Jin Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.40 no.6
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    • pp.967-978
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    • 2016
  • This study examines consumers' multi-channel choices in the search phase and purchasing phase stage according to price sensitivity and product characteristics in order to propose a multichannel strategy. For the research, one-way ANOVA, t-test, clustering analysis, and crosstabs are used for the descriptive analysis of 317 surveys on men and women conducted in 2014. The findings are as follows. First, consumers that both experience goods and search goods rely on surrounding advice as well as a search channel regardless of price sensitivity. Second, channel selection differs by price sensitivity when it comes to purchasing phase. Consumers with high price sensitivity tend to purchase from online channels; however, consumers with low price sensitivity tend to purchase from off line channels in cases of search goods. Meanwhile, cases of experience goods have no meaningful result. Third, consumers are divided into 3 groups by the tendency of channel selection. In case of experience goods, search channel choice is aligned with purchasing channel; however, search channel choice is not aligned with purchasing channel in search goods. This study provides clear information on fashion consumers' behavior on multi-channel choices compared to ones for search goods consumers on strategic strategies for fashion companies.

Embeded-type Search Function with Feedback for Smartphone Applications (스마트폰 애플리케이션을 위한 임베디드형 피드백 지원 검색체)

  • Kang, Moonjoong;Hwang, Mintae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.5
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    • pp.974-983
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    • 2017
  • In this paper, we have discussed the search function that can be embedded and used on Android-based applications. We used BM25 to suppress insignificant and too frequent words such as postpositions, Pivoted Length Normalization technique used to resolve the search priority problem related to each item's length, and Rocchio's method to pull items inferred to be related to the query closer to the query vector on Vector Space Model to support implicit feedback function. The index operation is divided into two methods; simple index to support offline operation and complex index for online operation. The implementation uses query inference function to guess user's future input by collating given present input with indexed data and with it the function is able to handle and correct user's error. Thus the implementation could be easily adopted into smartphone applications to improve their search functions.

A Study on User Information Seeking Behavior of Metasearch System in the Academic Library (대학도서관 이용자의 메타서치시스템 이용행태 연구)

  • Nam, Young-Joon;Yang, Ji-Ann
    • Journal of the Korean Society for information Management
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    • v.27 no.3
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    • pp.307-323
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    • 2010
  • The amount of online scholarly information rapidly expands in numerous resources, while user behavior demands single search box interface like Google Scholar. Despite scholarly values of e-resources libraries provide, users consider Google Scholar as the most efficient research tool attracted by its speed, simplicity, ease of use, and convenience. Characteristics of Metasearch System compared with Google Scholar are analyzed from perspectives of the interface and e-resource. Based on usage statistics of Metasearch System along with a link resolver in one academic library, e-resource accessibility patterns and information seeking behaviors of subject-specific areas are investigated for electronic information services.

An Effective P2P Search Algorithm based on Distributed Processing of Multiple Peers (다중 피어 분산 처리 기반 효과적 P2P 검색 알고리즘)

  • Kim, Boon-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.5 s.43
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    • pp.29-37
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    • 2006
  • The distributed system is used that it's features of the fault tolerance and good performances. One of the distributed systems, a peer-to-peer tech, has high availability to share resources. However when peers wanna share resources, it isn't online like the peer using resources of the search time. Therefore we usually use the re-transmission method to download all resources. It's not good at the performance of the peer-to-peer system so we need to good solution. In this study, we wanna use the peer-to-peer system with the partner peer that works same download method simultaneously. We wanna have the effective performance to reduce the search stage additionally.

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Use of Emoji as a Marketing Tool: An Exploratory Content Analysis

  • Mathews, Stanley;Lee, Seung-Eun
    • Fashion, Industry and Education
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    • v.16 no.1
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    • pp.46-55
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    • 2018
  • The purpose of this exploratory study was to enhance the understanding of how brands tilize emojis in their marketing practices. A content analysis was conducted utilizing Google News as a search tool to access articles containing information pertaining to the use of emojis by brands. The combination of keywords used for the search were "emoji", "business", and "marketing". The search was narrowed down to the period of January $1^{st}$, 2014 - November $29^{th}$, 2017. This method generated a total of 604 trade publications with 55 of them providing information pertaining to specific brands and their use of emojis in their marketing strategies. A content analysis of trade publications has revealed that a variety of marketers have utilized emojis in their brand marketing practices. The entertainment, service, and food/drink industries have predominantly utilized emojis in their marketing practices, and their primary purpose for using emojis was to increase consumer engagement. Brands applied most of these emoji marketing strategies to an online or digital setting, whether it was social media pages, mobile applications, or any other form of computer-based marketing. Although there are limitations to this exploratory research in terms of its methodology, the findings of this study provide interesting insights into the potential of emojis as a marketing tool.

Search Algorithm for Advanced Transmission Rate based on Probabilistic Proportion Search of Distributed Objects (분산 객체의 확률적 비례 검색 기반 전송률 향상 검색 알고리즘)

  • Kim, Boon-Hee
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.3
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    • pp.49-56
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    • 2006
  • A special feature of P2P distributed system isn't always the guarantee of online status for peers. In other words we want to download the file from the peer when we use the P2P system but it sometimes caused this system to fail the download. Many studies to resolve this problem depend on re-transmission method. It caused to lower performance so we have to resolve this problem. In this study, we analysis the average usage time of P2P application user and raise the resource transmission guarantee to apply the selection criteria of resource supplier. Moreover the combinations of distributed object replication techniques, the role to enhance the data transmission opportunity of high popularity resource. will cause this search algorithm to advance.

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Is There Therapeutic Evidence for PNF? (고유수용성신경근촉진법의 치료적 근거는?)

  • Woo, Young-Keun
    • PNF and Movement
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    • v.12 no.2
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    • pp.51-61
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    • 2014
  • Purpose: This study aimed to review articles related to PNF and easily provide information to readers who have difficulty reading papers or using PNF in clinics without a background in statistical knowledge. Methods: We used PubMed to collect papers on international studies and we conducted a search on April 28, 2014. Keywords used for the PubMed search were "PNF" and "Proprioceptive Neuromuscular Facilitation". The search results identified 765 papers that had been published since 1954. To target the papers for review, we selected 66 papers, excluding papers that were not published in online journals and papers that were written in a second language. Results: The reviewed papers consisted of studies that addressed basic principles and procedures, combined with other interventions, including PNF stretching concepts, and other diseases with PNF concepts. The articles related to basic procedures and principles reported on optimal contraction intensity, patterns, and irradiation. The articles related to stretching and strengthening reported on stretching the hamstring muscles in healthy subjects, in combination with other interventions such as neuromobilization, clinical massage, kinesio taping, and water immersion. The articles related to specific diseases reported on stroke, low back pain, athletic injury, total knee replacement, etc. Conclusion: In the 66 articles reviewed for this study, there was little evidence that PNF has therapeutic value. However, in future research on the application of PNF, investigators could conduct a more in-depth analysis of this topic and present more objective and useful information on the therapeutic benefits of PNF.