Implementation for Comparison Analysis System of Used Transaction Using Big Data
With the recent increase in used trading sites that support used trading, users want to find various information in real time, and the development of the Internet consists of direct and indirect connections between businesses and consumers. This change created a new type of C2C (Commerce to Commerce...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/12/19/8029 |
id |
doaj-b5ecb4f3faa6428eaecba651d81b103b |
---|---|
record_format |
Article |
spelling |
doaj-b5ecb4f3faa6428eaecba651d81b103b2020-11-25T02:23:33ZengMDPI AGSustainability2071-10502020-09-01128029802910.3390/su12198029Implementation for Comparison Analysis System of Used Transaction Using Big DataByungjoon Park0Hasung Kim1Byeongtae Ahn2Computer Science and Engineering, Sejong University, Seoul 04997, KoreaIT College, Suwon University, Seoul 04997, KoreaLiberal & Arts College, Anyang University, Gyeonggi-do 13992, KoreaWith the recent increase in used trading sites that support used trading, users want to find various information in real time, and the development of the Internet consists of direct and indirect connections between businesses and consumers. This change created a new type of C2C (Commerce to Commerce) transaction. However, each used trading site has its own characteristics, making it difficult to standardize one. Therefore, in this paper, we construed a system that provides the user’s used transaction data in real time and provides the desired information quickly. In this paper, we developed the crawler system needed to develop an integrated transaction system for second-hand goods through Internet e-commerce transactions, defined morphological analyzers, and described the service that users can employ in the web environment by using the system developed in the paper.https://www.mdpi.com/2071-1050/12/19/8029big datae-commercedata analysisused transactionblock chain |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Byungjoon Park Hasung Kim Byeongtae Ahn |
spellingShingle |
Byungjoon Park Hasung Kim Byeongtae Ahn Implementation for Comparison Analysis System of Used Transaction Using Big Data Sustainability big data e-commerce data analysis used transaction block chain |
author_facet |
Byungjoon Park Hasung Kim Byeongtae Ahn |
author_sort |
Byungjoon Park |
title |
Implementation for Comparison Analysis System of Used Transaction Using Big Data |
title_short |
Implementation for Comparison Analysis System of Used Transaction Using Big Data |
title_full |
Implementation for Comparison Analysis System of Used Transaction Using Big Data |
title_fullStr |
Implementation for Comparison Analysis System of Used Transaction Using Big Data |
title_full_unstemmed |
Implementation for Comparison Analysis System of Used Transaction Using Big Data |
title_sort |
implementation for comparison analysis system of used transaction using big data |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-09-01 |
description |
With the recent increase in used trading sites that support used trading, users want to find various information in real time, and the development of the Internet consists of direct and indirect connections between businesses and consumers. This change created a new type of C2C (Commerce to Commerce) transaction. However, each used trading site has its own characteristics, making it difficult to standardize one. Therefore, in this paper, we construed a system that provides the user’s used transaction data in real time and provides the desired information quickly. In this paper, we developed the crawler system needed to develop an integrated transaction system for second-hand goods through Internet e-commerce transactions, defined morphological analyzers, and described the service that users can employ in the web environment by using the system developed in the paper. |
topic |
big data e-commerce data analysis used transaction block chain |
url |
https://www.mdpi.com/2071-1050/12/19/8029 |
work_keys_str_mv |
AT byungjoonpark implementationforcomparisonanalysissystemofusedtransactionusingbigdata AT hasungkim implementationforcomparisonanalysissystemofusedtransactionusingbigdata AT byeongtaeahn implementationforcomparisonanalysissystemofusedtransactionusingbigdata |
_version_ |
1724858895271198720 |