Title page for etd-0729117-145812


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URN etd-0729117-145812
Author Shu-Ping Tsai
Author's Email Address No Public.
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Department Information Management
Year 2016
Semester 2
Degree Master
Type of Document
Language English
Title Exploring social roles and review behaviors in an online community
Date of Defense 2017-07-28
Page Count 63
Keyword
  • review behaviour
  • social role
  • clustering
  • association rules mining
  • recommendation
  • Abstract With the rapid development of social Web and electronic commerce, the potential consumers intend to seek for contents with product-related information before making a purchase decision from various online resources. Among these resources, customer reviews provide the information of the opinion for various product features. In addition, the discussion boards consist of peer communication to exchange and share their experiences with each other. Therefore, in this study, we aim to propose a method that combines content and social network analysis to discover the valuable patterns for market analysis. The proposed method generates the social-preference matrix which includes each user’s product preference and his/her social role defined by clustering to bridge the relationships by employing association rules techniques. The results show that different product features are concerned with the specific social role. Our method can provide relevant insights for companies to launch effective marketing and design product customization and for consumers easily to get ideas about their purchase decisions. This study particularly investigates customer review and social network and explores how two social resources associated with each other to improve the insight into each user’s preference with a social role they act.
    Advisory Committee
  • San-Yih Hwang - chair
  • Pei-Ting Chou - co-chair
  • Yi-Ling Lin - advisor
  • Files
  • etd-0729117-145812.pdf
  • Indicate in-campus at 3 year and off-campus access at 3 year.
    Date of Submission 2017-08-29

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