Implementation for Comparison Analysis System of Used Transaction Using Big Data

Byungjoon Park, Hasung Kim and Byeongtae Ahn
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Byungjoon Park: Computer Science and Engineering, Sejong University, Seoul 04997, Korea
Hasung Kim: IT College, Suwon University, Seoul 04997, Korea
Byeongtae Ahn: Liberal & Arts College, Anyang University, Gyeonggi-do 13992, Korea

Sustainability, 2020, vol. 12, issue 19, 1-17

Abstract: 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.

Keywords: big data; e-commerce; data analysis; used transaction; block chain (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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