Association Rules in Web Usage Logfile Data – Empirical Insights into the Use of User-Generated Web Site Features-Reference-Cited by-同舟云学术

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Association Rules in Web Usage Logfile Data – Empirical Insights into the Use of User-Generated Web Site Features

Published:2013 Issue: Volume: Page:50-62
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
language:
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Author:

Holsing Christian,Schultz Carsten D.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-39808-7_5

Reference47 articles.

1. Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Sawyer, A., Wood, S.: Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces. Journal of Marketing 61(3), 38–53 (1997)

2. Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules between Sets of Items in Large Databases. In: Jajodia, S. (ed.) Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp. 207–216. ACM Press (1993)

3. Andrews, D., Preece, J., Turoff, M.: A conceptual framework for demographic groups resistant to on-line community interaction. International Journal of Electronic Commerce 6(3), 9–24 (2002)

4. Arnold, M.J., Reynolds, K.E.: Hedonic shopping motivations. Journal of Retailing 79(2), 77–95 (2003)

5. Bagozzi, R.P., Dholakia, U.M.: Intentional Social Action in Virtual Communities. Journal of Interactive Marketing 16(2), 2–21 (2002)

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1. Social commerce: A systematic review and data synthesis;Electronic Commerce Research and Applications;2018-07

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