Method of extracting appliance pricing factors in e-commerce | Zendy

Tatsuya Ogura | Zendy; Kazuhiko Tsuda | Zendy

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Method of extracting appliance pricing factors in e-commerce

Author(s) -

Tatsuya Ogura,

Kazuhiko Tsuda

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.08.122

Subject(s) - computer science , cluster analysis , product (mathematics) , commodity , operator (biology) , the internet , supply and demand , commerce , industrial organization , business , microeconomics , world wide web , economics , artificial intelligence , finance , biochemistry , chemistry , geometry , mathematics , repressor , transcription factor , gene

Due to the spread of the Internet and the appearance of smartphones, the size of electronic commerce (EC) market has been growing steadily over the last few years. Despite the tendency that commodity prices generally decline over time, purchase and selling prices in EC business rise and decline according to the supply-demand situation from time to time. This paper investigates the actual purchase and sales data of a certain product sold by an EC business operator and classifies data by using clustering method. Analyzing the results, we extract factors which fluctuate and determine the price in EC market.

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