The Web Science Trust

REVIEW DRIVEN CUSTOMER SEGMENTATION FOR IMPROVED E-SHOPPING EXPERIENCE

Homoceanu, Silviu and Dechand, Sergej and Balke , Wolf-Tilo (2011) REVIEW DRIVEN CUSTOMER SEGMENTATION FOR IMPROVED E-SHOPPING EXPERIENCE. pp. 1-4. In: Proceedings of the ACM WebSci'11, June 14-17 2011, Koblenz, Germany.

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Official URL: http://www.websci11.org/fileadmin/websci/Posters/156_paper.pdf

Abstract

Despite intriguing commercial possibility, product search on the Web and e-shopping applications still strive to offer satisfying customer experience. The major challenge probably is to harness the power of user generated content in the form of reviews. Using the example of cell phones this paper demonstrates that user reviews, opinions, and product ratings may actually severely differ with respect to the intended product usage of individual customers or groups. Investigating individual task-based rating behavior, we show that customer segmentation paired with intuitive interface paradigms like faceted search, promises to significantly enhance user experience by combating the information flood.

Item Type:Conference or Workshop Item (Poster)
Web Science Comments:WebSci Conference 2011
Subjects:WS5 Psychology > WS51 Social Attitudes
WS5 Psychology > WS53 Human Information Processing
Web Science Events > Web Science 2011
ID Code:528
Deposited By: Lisa Sugiura
Deposited On:07 Jun 2011 16:37
Last Modified:25 Oct 2011 17:11

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