The Study of Data Mining on the LINE Business Model and Recommendation Mechanism

碩士 === 淡江大學 === 管理科學學系碩士班 === 103 === With smart phones and the convenience of the Internet become increasingly popular, the birth of mobile communications software LINE, further strengthened the link between them of communication between people. Because of this, LINE''s business...

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Bibliographic Details
Main Authors: Zhi-Yong Yang, 楊志勇
Other Authors: Shu-Hsien Liao
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/78619997826381821980
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Summary:碩士 === 淡江大學 === 管理科學學系碩士班 === 103 === With smart phones and the convenience of the Internet become increasingly popular, the birth of mobile communications software LINE, further strengthened the link between them of communication between people. Because of this, LINE''s business model is born out, and it changes and innovates as consumer preferences. The study uses the questionnaire survey procedure, by using data mining approach to the cluster analysis and association rules to discuss different possible business model developments. And by understanding customers use communications software LINE when exported which corresponding product portfolio and promotions will be introduced by appropriate recommend mechanisms. As for group buying, using the concept of Click-and-mortar of integration to seek LINE business opportunities from online to offline. The study found out that customers from different ages and career cluster, the communication of the reply to the response shows very different situations, promotional merchandise for your favorite type of pattern is also very different, so LINE can analyze the results for different customer clusters to develop an new generation of recommendation mechanism and business model, increase corporate profits source.