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Local Festival Marketing and Application Plan for Agricultural Products by Utilizing Big Data from Online Shopping Mall

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Wan-sup ChoAuthors Info & Claims

BigDAS '15: Proceedings of the 2015 International Conference on Big Data Applications and Services

Pages 233 - 236

https://doi.org/10.1145/2837060.2837103

Published: 20 October 2015 Publication History

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Abstract

The purpose of this research is to propose an establishment method of plans and marketing strategies for local festivals by utilizing issue categories and associated keywords obtained through big data analysis on online shopping mall. For this research, analysis was performed on organic product registration status and product titles which were posted on the biggest online shopping malls in Korea -- G Market, Auction, 11st -- on November 6, 2014 (1st round) and November 13th, 2014 (2nd round). As a result of the analysis, level of buzz was highest in the order of 'coffee/drink', 'infant/child clothing', 'pet product', and 'organic cotton' was obtained the most as the keyword related to organic product. The analysis has its significance in establishing marketing strategy by utilizing structured and unstructured web data of online shopping malls which have been rapidly growing recently.

References

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Shopping Trends on Online, 3-year-plan for the Economic Innovation, Press Releases of New Era of Hope, Statistics Korea, 2015.

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IDG TECH REPORT. Understanding of Big data. IDG KOREA, pp. 5--6, 2012.

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Young-Jin Lee, Ji-Hwan Yoon. A Study on Utilizing SNS Big Data in the Tourism Studies: Based on an Analysis of Key Words for Tourism Information Search. International Journal of Tourism and Hospitality Research, Volume 28, Number 3, pp. 5--14, 2014.

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Kim, J.S. Consumer Preferences Analysis Based on Multidimensional SNS Big Data Analysis. Chungbuk National University, 2012.

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Cited By

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Fan ZZhang NZhang XWang DWu G(2022)Data Mining Technology for Agricultural Equipment Machinery and Information Network Data ResourcesWireless Communications & Mobile Computing10.1155/2022/38996182022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3899618
Li SZhang Y(2020)Construction of Big Data Processing Platform for Intelligent AgricultureBig Data Analytics for Cyber-Physical System in Smart City10.1007/978-981-33-4572-0_173(1206-1212)Online publication date: 18-Dec-2020
https://doi.org/10.1007/978-981-33-4572-0_173
Varudharajulu AMa Y(2018)Feature-based Restaurant Customer Reviews Process Model using Data MiningProceedings of the 2018 International Conference on Computing and Big Data10.1145/3277104.3277113(32-37)Online publication date: 8-Sep-2018
https://dl.acm.org/doi/10.1145/3277104.3277113

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Published In

BigDAS '15: Proceedings of the 2015 International Conference on Big Data Applications and Services

October 2015

321 pages

ISBN:9781450338462

DOI:10.1145/2837060

Conference Chairs:
Jongsup Choi,
Sun Hwa Han,
Joo-Yeoun Lee,
Taeho Park,
Editor:
Aziz Nasridinov,
Program Chairs:
Carson K. Leung,
Yoo-Sung Kim,
Young-Koo Lee

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 October 2015

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Short-paper
Research
Refereed limited

Funding Sources

H0116-15-1011
IITP-2015-H8501-15-1013

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BigDAS '15

BigDAS '15: 2015 International Conference on Big Data Applications and Services

October 20 - 23, 2015

Jeju Island, Republic of Korea

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Cited By

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Fan ZZhang NZhang XWang DWu G(2022)Data Mining Technology for Agricultural Equipment Machinery and Information Network Data ResourcesWireless Communications & Mobile Computing10.1155/2022/38996182022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3899618
Li SZhang Y(2020)Construction of Big Data Processing Platform for Intelligent AgricultureBig Data Analytics for Cyber-Physical System in Smart City10.1007/978-981-33-4572-0_173(1206-1212)Online publication date: 18-Dec-2020
https://doi.org/10.1007/978-981-33-4572-0_173
Varudharajulu AMa Y(2018)Feature-based Restaurant Customer Reviews Process Model using Data MiningProceedings of the 2018 International Conference on Computing and Big Data10.1145/3277104.3277113(32-37)Online publication date: 8-Sep-2018
https://dl.acm.org/doi/10.1145/3277104.3277113

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