Exploring Customer Preference by Web Mining

碩士 === 東吳大學 === 資訊管理學系 === 107 === As e-commerce platform has continuously flourished, many users shopping on the e-commerce platform, and it brings large economic benefits. Nevertheless, those companies can’t achieve the desired result with their marketing decisions. Consequently, the demand to und...

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Bibliographic Details
Main Authors: CHAO, PO-CHUAN, 趙博荃
Other Authors: CHENG, LI-CHEN
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/vpz5cs
Description
Summary:碩士 === 東吳大學 === 資訊管理學系 === 107 === As e-commerce platform has continuously flourished, many users shopping on the e-commerce platform, and it brings large economic benefits. Nevertheless, those companies can’t achieve the desired result with their marketing decisions. Consequently, the demand to understand customers is increasing. In this study, we focused on the data on the review, ranking and weblog of an e-commerce platform to extract product features and to analyze customer preference in different customer cluster. We tried to help the e-commerce platform understanding their customers, and to make better marketing decisions.