Context-aware website personalization

Authors:
Daniela Wolff;Marc Schaaf;Stella Gatziu Grivas;Uwe Leimstoll
Affiliations:
University of Applied Sciences Northwestern Switzerland;University of Applied Sciences Northwestern Switzerland;University of Applied Sciences Northwestern Switzerland;University of Applied Sciences Northwestern Switzerland
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Year:
2011

Citing 15
Cited 0

AHAM: a Dexter-based reference model for adaptive hypermedia

Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse roots
Automatic Support for Usability Evaluation

IEEE Transactions on Software Engineering
Designing Web Usability: The Practice of Simplicity

Designing Web Usability: The Practice of Simplicity
Usability Engineering

Usability Engineering
Adaptive Hypermedia

User Modeling and User-Adapted Interaction
The Virtual World Gets Physical: Perspectives on Personalization

IEEE Internet Computing
Amazon.com Recommendations: Item-to-Item Collaborative Filtering

IEEE Internet Computing
Towards a Better Understanding of Context and Context-Awareness

HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Assessing a Firm's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability

Information Systems Research
AHA! The adaptive hypermedia architecture

Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Dynamic Conversion Behavior at E-Commerce Sites

Management Science
Model-driven development of context-aware Web applications

ACM Transactions on Internet Technology (TOIT)
Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electronic Channels

Management Science
Engineering semantic web information systems in Hera

Journal of Web Engineering
Interplay of content and context

Journal of Web Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Today there is a need in on-line shops to support the visitors of a web page appropriately by analyzing their current situation. In this paper we introduce a model which supports the identification of the content the user is interested in and the shopping strategy of the current session. We use context information extracted from enterprise data, content data, the current and the historical behaviour of the user. This allows us to learn more about the interests and needs of the user. We monitor and analyze this content information at runtime and use it for the adaption of the web site during the user's navigation.