The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Building Context-Aware E-Commerce Systems: A Data Mining Approach
Abstract
Context is any information/knowledge about an application and user that can be used by an e-commerce system to provide efficient services to the users of the system. In this article, we propose to extend usage of context as compared to previously designed context-aware e-commerce systems. While in previous work, context was mainly considered for mobile e-commerce systems, we propose to build and use context for e-commerce systems in general. The context is employed to tailor an e-commerce application to the preferences and needs of users and provide insights into purchasing activities of users and particular e-commerce stores by means of using Data Mining techniques. This article proposes a model of context that includes micro-, macro- and domain contexts that constitute knowledge about the application and its user on different levels of granularity. The article also proposes a technique for extracting groups in social networks. This knowledge is part of macro-context in the proposed model of context. Moreover, the article discusses some of the challenges of incorporating context with e-commerce systems, emphasizing on the privacy issue, with an ultimate goal of developing intelligent e-commerce systems.
Related Content
Emrah Arğın.
© 2022.
16 pages.
|
Ebru Gülbuğ Erol, Mustafa Gülsün.
© 2022.
17 pages.
|
Yeşim Şener.
© 2022.
18 pages.
|
Salim Kurnaz, Deimantė Žilinskienė.
© 2022.
20 pages.
|
Dorothea Maria Bowyer, Walid El Hamad, Ciorstan Smark, Greg Evan Jones, Claire Beattie, Ying Deng.
© 2022.
29 pages.
|
Savas S. Ates, Vildan Durmaz.
© 2022.
24 pages.
|
Nusret Erceylan, Gaye Atilla.
© 2022.
20 pages.
|
|
|